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DataPro

38 Articles
Merlyn from Packt
25 Sep 2024
5 min read
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50% Off New Data Science & AI Books – Learn from Industry Experts!

Merlyn from Packt
25 Sep 2024
5 min read
For a limited time, save on the best-selling books that will elevate your skills and knowledge! @media only screen and (max-width: 100%;} #pad-desktop {display: none !important;} }👋 Hello ,✨ Welcome to Packt’s Signature Series: New Titles Just Arrived!📚 We're thrilled to introduce the latest addition to our Signature Series—a curated collection of the best-selling titles in the data industry! This limited-time offer is packed with expert insights on mastering data science algorithms, Generative AI, and multimodal systems.For a limited time, enjoy 50% off eBooks and 30% off print editions of the following must-read titles. But hurry—this offer is only valid until September 30th!Don't miss this opportunity to upskill and elevate your career. Ready to dive in?➽ AI-Assisted Programming for Web and Machine Learning: Unlock the power of AI-assisted programming to streamline web development and machine learning. Learn to enhance frontend and backend coding, optimize ML models, and automate tasks using GitHub Copilot and ChatGPT. Perfect for boosting productivity and refining workflows. Start your free trial for access, renewing at $19.99/month.eBook $18.99 $38.99Print + eBook $32.99 $47.99➽ Machine Learning and Generative AI for Marketing: Leverage AI and Python to revolutionize your marketing strategies with predictive analytics and personalized content creation. Learn to combine advanced segmentation techniques and generative AI to boost customer engagement while ensuring ethical AI practices. Perfect for driving real business growth. Start your free trial for access, renewing at $19.99/month.eBook $19.99 $39.99Print + eBook $34.98 $49.99➽ Amazon DynamoDB - The Definitive Guide: Master Amazon DynamoDB with this comprehensive guide, learning key-value data modeling, optimized strategies for transitioning from RDBMS, and efficient read consistency. Discover advanced techniques like caching and analytics integration with AWS services to boost performance, while minimizing latency and costs. Start your free trial for access, renewing at $19.99/month.eBook $17.99 $35.99Print + eBook $30.99 $44.99➽ Microsoft Power BI Performance Best Practices - Second Edition: Master Power BI performance optimization with this guide, learning to build efficient data models, apply row-level security, and troubleshoot issues using DAX Studio and VertiPaq Analyzer. Implement formal performance management strategies to ensure scalable, high-performing solutions. Start your free trial for access, renewing at $19.99/month.eBook $19.99 $39.99Print + eBook $34.98 $49.99➽ Polars Cookbook: Unlock faster, more efficient data analysis with Python Polars through step-by-step recipes. Master data manipulation, advanced querying, and performance optimization. Learn to handle large datasets, perform complex transformations, and integrate Polars with other tools. Start your free trial for access, renewing at $19.99/month.eBook $17.99 $35.99Print + eBook $30.99 $44.99➽ 15 Math Concepts Every Data Scientist Should Know: Master key data science algorithms through Python-based examples, boosting your solutions by applying and creating algorithms. Learn foundational and advanced mathematical techniques for solving real-world data challenges, with practical Python applications. Start your free trial for access, renewing at $19.99/month.eBook $17.99 $35.99Print + eBook $30.99 $44.99➽ Generative AI-Powered Assistant for Developers: Unlock the full potential of Amazon Q Developer with this comprehensive guide. Learn to auto-generate code across multiple languages, enhance productivity, and streamline workflows with generative AI. Includes real-world examples with AWS integration tips. Start your free trial for access, renewing at $19.99/month.eBook $15.99 $31.99Print + eBook $27.98 $39.99➽ Python Feature Engineering Cookbook - Third Edition: Streamline your machine learning workflows with this comprehensive guide to feature engineering. Learn to craft powerful features from tabular, transactional, and time-series data, develop reproducible pipelines, and optimize transformations to save time. Includes real-world examples for practical application. Start your free trial for access, renewing at $19.99/month.eBook $17.99 $35.99Print + eBook $30.99 $44.99Eager for more insights? Add these powerful resources to your reading list.➽ Bayesian Analysis with Python - Third Edition: Gain hands-on expertise in Bayesian modeling with PyMC, Bambi, and ArviZ. Explore hierarchical models, regression, and BART while applying best practices through practical exercises. Perfect for mastering real-world data science challenges. Includes a free PDF with book purchase.➽ Multiphysics Modeling Using COMSOL 5 and MATLAB: Master COMSOL and MATLAB integration with this comprehensive guide. Learn to set up and solve multiphysics models, from 0D to 3D, through practical examples. Advanced techniques like bioheat and Perfectly Matched Layer models are included, enhancing real-world engineering applications.➽ Python 3 Data Visualization Using ChatGPT / GPT-4: Master Python programming and data visualization with this comprehensive guide. Learn fundamentals and advanced techniques using libraries like Matplotlib and Seaborn. Explore AI integration with ChatGPT/GPT-4 for dynamic visualizations. Companion files with code, datasets, and figures enhance your hands-on learning experience, making this an essential resource for data scientists and Python practitioners.➽ Dealing With Data Pocket Primer: This complete guide covers data science fundamentals, from probability and statistics to advanced NLP and data visualization. Featuring practical examples, clear explanations, and companion files with source code, it’s the perfect resource for mastering data management and analysis efficiently.Here are some more fresh reads, handpicked just for you: ⏩ SQL Pocket Primer⏩ Data Visualization for Business Decisions⏩ Google Gemini for Python⏩ Enterprise Transformation to Artificial Intelligence and the Metaverse⏩ Pandas Basics⏩ Python 3 and Data Visualization⏩ Python 3 Data Visualization Using Google Gemini⏩ Python 3 Using ChatGPT / GPT-4We’ve got more great things coming your way—see you soon!*{box-sizing:border-box}body{margin:0;padding:0}a[x-apple-data-detectors]{color:inherit!important;text-decoration:inherit!important}#MessageViewBody a{color:inherit;text-decoration:none}p{line-height:inherit}.desktop_hide,.desktop_hide table{mso-hide:all;display:none;max-height:0;overflow:hidden}.image_block img+div{display:none}sub,sup{line-height:0;font-size:75%} @media (max-width: 100%;display:block}.mobile_hide{min-height:0;max-height:0;max-width: 100%;overflow:hidden;font-size:0}.desktop_hide,.desktop_hide table{display:table!important;max-height:none!important}} @media only screen and (max-width: 100%;} #pad-desktop {display: none !important;} }
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Merlyn from Packt
19 Sep 2024
10 min read
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Google AI’s DataGemma, PyTorch Automatic Mixed Precision Library, Conversational Analytics in Looker, Mistral-Small-Instruct-2409, Comet’s Opik, OpenAI o1 System Card

Merlyn from Packt
19 Sep 2024
10 min read
BigQuery’s Contribution Model, Apache Airflow ETL on Google Cloud, Graviton4 EC2 Instances @media only screen and (max-width: 100%;} #pad-desktop {display: none !important;} }Join Roman Lavrik from Deloitte Snyk hosted DevSecCon 2024Snyk is thrilled to announce DevSecCon 2024, Developing AI Trust Oct 8-9, a FREE virtual summit designed for DevOps, developer and security pros of all levels. Join Roman Lavrik from Deloitte, among many others, and learn some presciptive DevSecOps methods for AI-powered development.Save your spotSponsoredWelcome to DataPro #112—Your Weekly Fix of Data Science & ML Magic! 🌟In the fast-moving world of AI and ML, staying ahead means leveraging smart strategies for bold decisions. This week, we’re bringing you expert insights from our new Packt Signature Series. From real-time data mastery to AI modeling techniques, we’ve got everything you need to level up your data game!Get ready to elevate your model accuracy, supercharge performance, and cut costs with the latest in scalable solutions. Dive into this week’s must-read articles, tips, and practical techniques.📚 Must-Reads for Data Pros✦ LLM-Powered Apps: Build smarter AI tools✦ Python for Trading: Algorithmic insights✦ Power BI Cookbook: Master data visualization✦ The Prompt Engineering Playbook: Unlock AI secrets✦ Mastering PyTorch: Deep learning unleashed🔍 Algorithm Spotlight: Dive Deep into the Tech✦ Automating Metrics with Amazon Prometheus: Simplify data tracking on EKS✦ Graviton4 EC2 Instances: Memory-optimized power for your AI workloads✦ OpenAI Safety Practices: An update on securing AI✦ Mistral AI Release: Open-source models with unmatched flexibility🚀 Trendspotting: The Future of AI✦ Eureka AI Progress: Understand and evaluate AI advancements✦ OpenAI o1 System Card: A glance into AI innovations✦ Conversational Analytics Preview: What’s new in Looker?✦ Comet’s Opik: Streamlining LLM evaluation and prompt tracking🛠️ Tool Showdown: Which ML Platform Reigns Supreme?✦ BigQuery’s Contribution Model: Fresh insights for your data✦ Running Airflow on Google Cloud: Three easy approaches✦ Python Tricks: Merge dictionaries like a pro✦ Google AI’s DataGemma: A Set of Open Models that Utilize Data Commons📊 Case Studies: ML Success Stories✦ Handling Large Text with Longformer: A Hugging Face deep dive✦ Confluent & Vertex AI: Integrating LLMs for big wins✦ What Makes a Data Business Thrive? Lessons from the top🌍 ML Buzz: Industry News & Discoveries✦ Cracking PyTorch’s Mixed Precision Library: What you need to know✦ MLflow, Azure, Docker: Managing models with ease✦ Self-Learning Models: Teaching AI to improve autonomouslyGet ready for a week of data-driven breakthroughs!Take our weekly survey and get a free PDF copy of our best-selling book,"Interactive Data Visualization with Python - Second Edition."We appreciate your input and hope you enjoy the book!Share Your Insights and Shine! 🌟💬Cheers,Merlyn Shelley,Editor-in-Chief, Packt.Sponsored📚 Packt Signature Series: Must-Reads & Author InsightsWe’re excited to present a new collection in our Signature Series, featuring the best-selling titles in the data industry. Packed with insights on Generative AI and multimodal systems, this collection is available for a limited time at 30% off both print and e-book formats. This offer ends Sunday, September 22nd. Don’t miss your chance to upskill and elevate your career. Let’s dive in!➽ Building LLM Powered Applications: This new titleis all about helping engineers and data pros use large language models (LLMs) effectively. It tackles key challenges like embedding LLMs into real-world apps and mastering prompt engineering techniques. You’ll learn to orchestrate LLMs with LangChain and explore various models, making it easier to create intelligent systems that can handle both structured and unstructured data. It’s a great way to boost your skills, whether you’re new to AI or already experienced! Start your free trial for access, renewing at $19.99/month.eBook $27.98 $39.99Print + eBook $34.98 $49.99➽ Python for Algorithmic Trading Cookbook: This bookis your go-to guide for using Python in trading. It helps you tackle key issues like acquiring and visualizing market data, designing and backtesting trading strategies, and deploying them live with APIs. You’ll learn practical techniques to gather data, analyze it, and optimize your strategies using tools like OpenBB and VectorBT. Whether you’re just starting or looking to refine your skills, this book equips you with the know-how to trade smarter with Python! Start your free trial for access, renewing at $19.99/month.eBook $27.98 $39.99Print + eBook $36.99 $49.99➽ Microsoft Power BI Cookbook - Third Edition: The Power BI Cookbook is your essential guide to mastering data analysis and visualization with Power BI. It covers using Microsoft Data Fabric, managing Hybrid tables, and creating effective scorecards. Learn to transform complex data into clear visuals, implement robust models, and enhance reports with real-time data. This updated edition prepares you for future AI innovations, making it a must-have for beginners and seasoned users alike! Start your free trial for access, renewing at $19.99/month.eBook $29.99 $43.99Print + eBook $41.98 $59.99➽ The Definitive Guide to Power Query (M): The Definitive Guide to Power Query (M) focuses on mastering data transformation with Power Query. It covers fundamental and advanced concepts through hands-on examples that address real-world problems. You'll learn the Power Query M language, optimize performance, handle errors, and implement efficient data processes. By the end, you'll have the skills to enhance your data analysis effectively! Start your free trial for access, renewing at $19.99/month.eBook $43.99Print + eBook $37.99 $54.99🔍 Model Breakdown: Unveiling the Algorithm of the Week➽ Automating metrics collection on Amazon EKS with Amazon Managed Service for Prometheus managed scrapers: This blog discusses how Amazon Managed Service for Prometheus simplifies monitoring containerized applications in Amazon EKS by introducing a fully-managed, agentless scraper for Prometheus metrics, reducing operational overhead and enhancing efficiency through Terraform and AWS CloudFormation automation.➽ Now available: Graviton4-powered memory-optimized Amazon EC2 X8g instances. This post introduces Graviton-4-powered X8g instances, offering high memory, enhanced performance, scalability, and security for applications like databases and electronic design automation, emphasizing their efficiency, flexibility, and improved price-performance over previous instances.➽ An update on OpenAI safety & security practices: This post introduces OpenAI's Safety and Security Committee, outlining five key recommendations to enhance governance, security, transparency, collaboration, and safety frameworks for AI model development and deployment, ensuring responsible and secure advancements in AI technology.➽ Mistral AI Released Mistral-Small-Instruct-2409: A Game-Changing Open-Source Language Model Empowering Versatile AI Applications with Unmatched Efficiency and Accessibility. This article introduces Mistral AI's release of Mistral-Small-Instruct-2409, a powerful open-source large language model designed to enhance AI performance, promote accessibility, and support various natural language processing tasks with an emphasis on transparency, collaboration, and ethical AI development.🚀 Trendspotting: What's Next in Tech Trends➽ Eureka: Evaluating and understanding progress in AI. This post introduces the EUREKA framework for evaluating AI models, emphasizing the need for in-depth measurement beyond standard benchmarks. It aims to uncover strengths, weaknesses, and real-world capabilities of state-of-the-art models through transparent and reproducible evaluations.➽ OpenAI o1 System Card: This report outlines safety evaluations conducted before releasing OpenAI o1 models, addressing risks like bias, hallucinations, and disallowed content. It highlights mitigations, advanced reasoning capabilities, and overall safety ratings under OpenAI's Preparedness Framework.➽ Conversational Analytics in Looker is now in preview: This post introduces Looker's Conversational Analytics, powered by AI and Looker’s semantic model, enabling users to ask data questions in natural language. It simplifies business intelligence, enhances accessibility, and promotes data-driven decision-making across organizations.➽ Comet Launches Opik: A Comprehensive Open-Source Tool for End-to-End LLM Evaluation, Prompt Tracking, and Pre-Deployment Testing with Seamless Integration. This article introduces Opik, an open-source platform by Comet for enhancing observability and evaluation of large language models (LLMs). Opik helps developers and data scientists monitor, test, and track LLM applications, improving performance reliability and addressing issues like hallucinations.🛠️ Platform Showdown: Comparing ML Tools & Services➽ Introducing a new contribution analysis model in BigQuery: This post introduces contribution analysis in BigQuery ML, which helps organizations identify key data drivers behind trends and fluctuations, enabling faster, data-driven decisions by analyzing test and control datasets, and finding statistically significant contributors at scale.➽ Three different ways to run Apache Airflow ETL on Google Cloud: This article explores three ways to run Apache Airflow on Google Cloud, comparing Compute Engine, managed solutions, and infrastructure setups. It highlights the pros and cons of each, providing Terraform code for implementation.➽3 Simple Ways to Merge Python Dictionaries: This blog explains three common methods to merge dictionaries in Python: using the `update()` method, dictionary unpacking (`{**dict1, **dict2}`), and the union operator (`|`), providing code examples for each approach.➽ Google AI Introduces DataGemma: A Set of Open Models that Utilize Data Commons through Retrieval Interleaved Generation (RIG) and Retrieval Augmented Generation (RAG). Google's DataGemma addresses hallucinations in large language models (LLMs) by grounding them in real-world statistical data through Google’s Data Commons. It introduces two advanced models, RAG-27B-IT and RIG-27B-IT, enhancing precision for tasks requiring deep analysis and real-time fact-checking.📊 Success Stories: Real-World ML Case Studies➽ How to Handle Large Text Inputs with Longformer and Hugging Face Transformers? This post is a tutorial on using Longformer with Hugging Face Transformers for processing long text inputs in NLP tasks. It covers installing necessary packages, loading datasets, fine-tuning models, and evaluating results for tasks like review classification.➽ Integrating Confluent and Vertex AI with LLMs: This blog explains how integrating large language models (LLMs) with Confluent and Vertex AI automates SQL query generation, streamlining real-time data analytics. It enhances data exploration, report generation, pipeline optimization, and anomaly detection, addressing challenges like complex queries and real-time decision-making.➽ What Makes a Great Data Business? This post discusses how to identify and evaluate data businesses, highlighting their high margins and value potential. It covers key evaluation criteria: data sources, uses, nice-to-haves, and business models, providing a framework for private equity investors to spot valuable data businesses.🌍 ML Newsflash: Latest Industry Buzz & Discoveries➽ The Mystery Behind the PyTorch Automatic Mixed Precision Library: This article explains how to accelerate deep learning model training using Nvidia's automatic mixed precision (AMP) technique. It introduces Nvidia's Tensor cores, reviews the "Mixed Precision Training" paper, and demonstrates a 2X training speed-up for ResNet50 on FashionMNIST with minimal code changes.➽ Model Management with MLflow, Azure, and Docker: This article explains how to deploy MLflow, a tool for managing machine learning workflows, in a Docker container on Azure for scalability and collaboration. It covers MLflow's key components, focusing on MLflow Tracking, and provides a hands-on guide for setting up the system with Azure SQL Database and Blob Storage.➽ Teaching Your Model to Learn from Itself: This article explains pseudo-labeling, a semi-supervised learning technique that uses confident predictions from a model to label unlabeled data. A case study on the MNIST dataset demonstrates how pseudo-labeling boosted accuracy from 90% to 95% by iteratively adding confident predictions to the training set.We’ve got more great things coming your way—see you soon!*{box-sizing:border-box}body{margin:0;padding:0}a[x-apple-data-detectors]{color:inherit!important;text-decoration:inherit!important}#MessageViewBody a{color:inherit;text-decoration:none}p{line-height:inherit}.desktop_hide,.desktop_hide table{mso-hide:all;display:none;max-height:0;overflow:hidden}.image_block img+div{display:none}sub,sup{line-height:0;font-size:75%} @media (max-width: 100%;display:block}.mobile_hide{min-height:0;max-height:0;max-width: 100%;overflow:hidden;font-size:0}.desktop_hide,.desktop_hide table{display:table!important;max-height:none!important}} @media only screen and (max-width: 100%;} #pad-desktop {display: none !important;} }
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Merlyn from Packt
18 Sep 2024
6 min read
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[Save 30%] on Top-Selling Print + eBooks for Data Professionals: Boost Your Knowledge in AI and Data Analytics!

Merlyn from Packt
18 Sep 2024
6 min read
For a limited time, save on the best-selling books that will elevate your skills and knowledge! @media only screen and (max-width: 100%;} #pad-desktop {display: none !important;} }👋 Hello ,✨ Welcome to Packt’s Signature Series: New Titles Just Arrived!📚 We’re excited to present a new collection in our Signature Series, featuring the best-selling titles in the data industry. Packed with insights on Generative AI and multimodal systems, this collection is available for a limited time at 30% off both print and e-book formats. This offer ends Sunday, September 22nd. Don’t miss your chance to upskill and elevate your career. Let’s dive in!➽ Building LLM Powered Applications: This new titleis all about helping engineers and data pros use large language models (LLMs) effectively. It tackles key challenges like embedding LLMs into real-world apps and mastering prompt engineering techniques. You’ll learn to orchestrate LLMs with LangChain and explore various models, making it easier to create intelligent systems that can handle both structured and unstructured data. It’s a great way to boost your skills, whether you’re new to AI or already experienced! Start your free trial for access, renewing at $19.99/month.eBook $27.98 $39.99Print + eBook $34.98 $49.99➽ Python for Algorithmic Trading Cookbook: This bookis your go-to guide for using Python in trading. It helps you tackle key issues like acquiring and visualizing market data, designing and backtesting trading strategies, and deploying them live with APIs. You’ll learn practical techniques to gather data, analyze it, and optimize your strategies using tools like OpenBB and VectorBT. Whether you’re just starting or looking to refine your skills, this book equips you with the know-how to trade smarter with Python! Start your free trial for access, renewing at $19.99/month.eBook $27.98 $39.99Print + eBook $36.99 $49.99➽ Microsoft Power BI Cookbook - Third Edition: The Power BI Cookbook is your essential guide to mastering data analysis and visualization with Power BI. It covers using Microsoft Data Fabric, managing Hybrid tables, and creating effective scorecards. Learn to transform complex data into clear visuals, implement robust models, and enhance reports with real-time data. This updated edition prepares you for future AI innovations, making it a must-have for beginners and seasoned users alike! Start your free trial for access, renewing at $19.99/month.eBook $29.99 $43.99Print + eBook $41.98 $59.99➽ The Definitive Guide to Power Query (M): The Definitive Guide to Power Query (M) focuses on mastering data transformation with Power Query. It covers fundamental and advanced concepts through hands-on examples that address real-world problems. You'll learn the Power Query M language, optimize performance, handle errors, and implement efficient data processes. By the end, you'll have the skills to enhance your data analysis effectively! Start your free trial for access, renewing at $19.99/month.eBook $43.99Print + eBook $37.99 $54.99➽ Mastering PyTorch - Second Edition: This is your essential resource for building advanced neural network models with PyTorch. You'll explore tools like Hugging Face, fastai, and Docker, learning to create models for text, images, and music. With hands-on examples, you'll master training optimization, mobile deployment, and various network types, equipping you to tackle complex AI tasks using the PyTorch ecosystem! Start your free trial for access, renewing at $19.99/month.eBook $28.99 $41.99Print + eBook $40.99 $51.99➽ Unlocking the Secrets of Prompt Engineering: It'syour guide to mastering AI-driven writing with large language models (LLMs). It covers essential techniques and applications, from content creation to chatbots. With practical examples, you'll learn to generate product descriptions and tackle advanced uses like podcast creation. The book emphasizes ethical practices and optimization strategies, preparing you to leverage AI for improved writing, creativity, and productivity! Start your free trial for access, renewing at $19.99/month.eBook $24.99 $35.99Print + eBook $30.99 $44.99➽ ChatGPT for Cybersecurity Cookbook: Your essential guide to using AI in cybersecurity. It helps you automate tasks like penetration testing, risk assessment, and threat detection with ChatGPT. Each recipe provides step-by-step instructions for generating commands, writing code, and creating tools with the OpenAI API and Python. You'll explore innovative strategies and optimize workflows, gaining confidence in AI-driven techniques to excel in the rapidly evolving cybersecurity landscape! Start your free trial for access, renewing at $19.99/month.eBook $27.98 $39.99Print + eBook $34.98 $49.99➽ Mastering NLP from Foundations to LLMs:Your complete guide to Natural Language Processing (NLP) with Python. It covers the mathematical foundations of machine learning and essential topics like linear algebra and statistics. You'll learn to preprocess text, classify it, and implement advanced techniques, including large language models (LLMs). With practical Python code samples and insights into future trends, you'll gain the skills to tackle real-world NLP challenges confidently and effectively design ML-NLP systems! Start your free trial for access, renewing at $19.99/month.eBook $29.99 $42.99Print + eBook $46.99 $52.99➽ Learn Microsoft Fabric: This title is your essential guide to using Microsoft Fabric for data integration and analytics. It explores key features with real-world examples, helping you build solutions for lakehouses, data warehouses, and real-time analytics. You'll learn to effectively monitor your Fabric platform and cover workloads like Data Factory and Power BI. By the end, you'll be equipped to unlock AI-driven insights and navigate the analytics landscape confidently! Start your free trial for access, renewing at $19.99/month.eBook $24.99 $35.99Print + eBook $35.98 $44.99➽ Building Data-Driven Applications with LlamaIndex: This book is your comprehensive guide to leveraging Generative AI and large language models (LLMs). It addresses challenges like memory constraints and data gaps while teaching you to build interactive applications with LlamaIndex. You'll learn to ingest and index data, create optimized indexes, and query your knowledge base through hands-on projects. By the end, you'll be equipped to troubleshoot LLM issues and confidently deploy your AI-driven applications! Start your free trial for access, renewing at $19.99/month.eBook $24.99 $35.99Print + eBook $30.99 $44.99➽ OpenAI API Cookbook: This new title is all about using the OpenAI API to create smart applications. It helps engineers and data pros understand the basics, set up their API, and build tailored tools like chatbots and virtual assistants. You’ll learn practical recipes to enhance user experience and integrate AI into your workflows, making your projects more efficient and innovative! Start your free trial for access, renewing at $19.99/month.eBook $21.99 $31.99Print + eBook $27.98 $39.99Loved Those Titles? Check These Out!➽ Data Governance Handbook➽ Generative AI for Cloud Solutions➽ Data-Centric Machine Learning with Python➽ Modern Python Cookbook - Third EditionWe’ve got more great things coming your way—see you soon!*{box-sizing:border-box}body{margin:0;padding:0}a[x-apple-data-detectors]{color:inherit!important;text-decoration:inherit!important}#MessageViewBody a{color:inherit;text-decoration:none}p{line-height:inherit}.desktop_hide,.desktop_hide table{mso-hide:all;display:none;max-height:0;overflow:hidden}.image_block img+div{display:none}sub,sup{line-height:0;font-size:75%} @media (max-width: 100%;display:block}.mobile_hide{min-height:0;max-height:0;max-width: 100%;overflow:hidden;font-size:0}.desktop_hide,.desktop_hide table{display:table!important;max-height:none!important}} @media only screen and (max-width: 100%;} #pad-desktop {display: none !important;} }
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Merlyn from Packt
12 Sep 2024
11 min read
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🌐 IBM's PowerLM-3B & PowerMoE-3B models, Apple’s Byte-Level ASR Optimization, AtScale’s Open-Source Semantic Modeling Language, LG’s EXAONEPath

Merlyn from Packt
12 Sep 2024
11 min read
Google’s AI detective, Regnology Automates Ticket-to-Code with agentic GenAI on Vertex AI, MedFuzz @media only screen and (max-width: 100%;} #pad-desktop {display: none !important;} }Grow your business & career by 10x using AI Strategies in 4 hrs! 🤯Join GrowthSchool's AI Business Growth & Strategy Crash Course and discover how to revolutionise your approach to business on 12th September at 10 AM EST.In just 4 hours, you’ll gain the tools, insights, and strategies to not just survive, but dominate your market.This is more than just a workshop—it's a turning point.The first 100 to register get in for FREE. Don’t miss the chance to change your business trajectory forever.Sign up here to save your seat! 👈SponsoredWelcome to DataPro #111—Your Weekly Dose of Data Science & ML Magic! 🚀We’re now landing in your inbox every Thursday to keep you sharp and ahead of the game!In the ever-evolving realm of AI and ML, it's all about harnessing smart insights for impactful decisions and stellar leadership. Dive into our new Packt Signature Series, where you'll find expert tips on everything from real-time data management to mastering AI modeling. We’re here to equip you with the tools you need to navigate the data world like a pro.This week, we’ve got cutting-edge strategies to boost your model accuracy, optimize performance, and reduce costs with scalable solutions. Get ready for top-notch tips and practical techniques to supercharge your data skills.📚 Top Reads & Author Insights:✦ Building AI Intensive Python Applications:Dive deep into advanced AI apps.✦ Databricks ML in Action: Real-world applications and best practices.✦ Generative AI Application Integration Patterns:Innovative uses of generative AI.✦ Polars Cookbook:Essential recipes for efficient data handling.✦ Building LLM Powered Applications:Building with large language models.✦ Building Data-Driven Applications with LlamaIndex:Leveraging LlamaIndex for robust applications.✦ Data Quality in the Age of AI:Ensuring top-notch data quality.✦ Modern Computer Vision with PyTorch - Second Edition:Updated techniques in computer vision.✦ Accelerate Model Training with PyTorch 2.X:Speed up your model training.✦ Mastering PyTorch - Second Edition:The ultimate guide to mastering PyTorch.🔍 Algorithm Spotlight:✦ Apple’s Byte-Level ASR Optimization: A new AI algorithm for speech recognition.✦ IBM’s PowerLM-3B & PowerMoE-3B: Massive language models with advanced scheduling.✦ AtScale’s Open-Sourced SML: Transforming analytics with a new semantic modeling framework.✦ LG’s EXAONEPath: Enhancing histopathology analysis with a pre-trained model.🚀 Tech Trendwatch:✦ Tracing Memory Allocation in Python: Learn how to track memory usage.✦ Anomaly Detection in Streaming Data: Using Amazon Managed Service for Apache Flink.🛠️ ML Tool Showdown:✦7 Free Cloud IDEs You Need: Explore top IDEs for data science.✦ End-to-End Data Science Pipelines: From ingestion to visualization.✦ Sustainable MLOps: Optimizing operations for sustainability.📊 Success Stories:✦ GraphRAG’s Auto-Tuning: Adapting rapidly to new domains.✦ Enterprise Data Quality Guide: Navigating enterprise data challenges.✦ AI Agents for Daily Tasks: Automating routine app tasks.🌍 ML Newsflash:✦ Google’s AI Detective: Solving challenges with Gemini 1.5 Pro.✦ Regnology’s Gen AI on Vertex AI: Automating ticket-to-code processes.✦ MedFuzz on LLM Robustness: Evaluating LLMs in medical contexts.Stay tuned for your weekly dose of data brilliance! 🚀Take our weekly survey and get a free PDF copy of our best-selling book, "Interactive Data Visualization with Python - Second Edition."We appreciate your input and hope you enjoy the book!Share Your Insights and Shine! 🌟💬📚 Packt Signature Series: Must-Reads & Author InsightsStep into a world of expert-driven knowledge with ourone-of-a-kindin-house content, crafted by industry pros to deliver the freshest insights on the latest tech releases. Discover how these cutting-edge titles are shaping the data landscape and unlocking the "whats," "hows," and "whys" behind emerging technologies. Whether you're looking to sharpen your skills or dive into something entirely new, there's never been a better time to expand your library with these essential resources.For a limited time, enjoy 30% off all eBooks at Packtpub.com. These books are more than just guides, they’re packed with real-world expertise from those who know the industry inside and out, offering perspectives you simply won’t find anywhere else.➽ Building AI Intensive Python ApplicationsThis book guides you through building powerful AI applications using large language models (LLMs), vector databases, and Python frameworks. You'll learn how to optimize AI performance, implement advanced techniques like retrieval-augmented generation, and tackle challenges like hallucinations and data leakage, ultimately creating reliable, high-impact AI solutions.Order Today at $41.98 $59.99➽ Databricks ML in ActionThis book is all about mastering the Databricks platform for machine learning and data science. It helps data engineers and scientists solve key problems by offering practical, cloud-agnostic examples and code projects. You’ll learn how to use Databricks tools to streamline workflows, improve model performance, and integrate with third-party apps.Order Today at $24.99 $35.99➽ Generative AI Application Integration PatternsThis book guides you through designing and integrating GenAI applications. You’ll learn essential tools and strategies, from prompt engineering to advanced techniques like retrieval-augmented generation. It provides practical examples, a clear 4-step framework, and covers ethical considerations for deploying GenAI models effectively.Order Today at $27.98 $39.99➽ Polars CookbookThis cookbook is your go-to guide for mastering Python Polars, a high-performance library for efficient data analysis. It offers step-by-step recipes for handling large datasets, advanced querying, and performance optimization. With practical tips on data manipulation, integration, and deployment, you'll boost your data workflows and analysis skills.Order Today at $24.99 $35.99➽ Building LLM Powered ApplicationsThis book helps you integrate LLMs into real-world apps using LangChain for orchestration. It covers the basics and advanced techniques of prompt engineering, explores various LLM architectures, and guides you through using powerful tools to create intelligent agents. You'll also learn about ethical considerations and the future of large foundation models.Order Today at $27.98 $39.99➽ Building Data-Driven Applications with LlamaIndexThis guide explores Generative AI and LlamaIndex, focusing on overcoming LLM limitations and building interactive applications. Learn to manage text chunking, security, and real-time data challenges. With hands-on projects, you'll master data ingestion, indexing, querying, and deployment, equipping you to develop and customize sophisticated AI-driven solutions.Order Today at $24.99 $35.99➽ Data Quality in the Age of AIThis book emphasizes the crucial role of data quality in AI success. It provides strategies to improve and measure data quality, offering practical steps to enhance data-driven decision-making. With real-world examples and actionable insights, it equips teams to optimize their data culture, leading to better AI performance and business outcomes.Order Today at $55.98 $79.99➽ Modern Computer Vision with PyTorch - Second EditionThis book offers a deep dive into neural network architectures and PyTorch for computer vision tasks. Learn to build solutions for image classification, object detection, and more using state-of-the-art models like CLIP and Stable Diffusion. With code available on GitHub and Google Colab, you'll gain practical skills for real-world applications and production deployment.Order Today at $33.99 $48.99➽ Accelerate Model Training with PyTorch 2.XThis book helps you optimize PyTorch model training, focusing on reducing build time and improving efficiency. Learn to speed up training with multicore systems, multi-GPU setups, and mixed precision. You'll explore techniques for model simplification, specialized libraries, and data pipeline improvements to enhance performance and model quality.Order Today at $24.99 $35.99➽ Mastering PyTorch - Second Edition This book guides you through building advanced neural network models with PyTorch, including CNNs, RNNs, and transformers. Learn to optimize training with GPUs, deploy models on mobile, and utilize libraries like Hugging Face and PyTorch Lightning. It covers deep learning across text, vision, and music, enhancing your AI skills with practical techniques.Order Today at $28.99 $41.99🔍 Model Breakdown: Unveiling the Algorithm of the Week➽ Apple Researchers Propose a Novel AI Algorithm to Optimize a Byte-Level Representation for Automatic Speech Recognition ASR and Compare it with UTF-8 Representation: The blog discusses a new method for enhancing multilingual automatic speech recognition (ASR) using vector quantized auto-encoders. This approach improves byte-level representation accuracy, optimizes resource usage, and reduces error rates, outperforming UTF-8 and character-based methods in multilingual settings.➽ PowerLM-3B and PowerMoE-3B Released by IBM: Revolutionizing Language Models with 3 Billion Parameters and Advanced Power Scheduler for Efficient Large-Scale AI Training. IBM's PowerLM-3B and PowerMoE-3B models showcase advancements in large-scale language model training. Utilizing IBM’s Power scheduler, these models achieve high efficiency and scalability, optimizing learning rates and computational costs for improved performance in NLP tasks.➽ AtScale Open-Sourced Semantic Modeling Language (SML): Transforming Analytics with Industry-Standard Framework for Interoperability, Reusability, and Multidimensional Data Modeling Across Platforms: AtScale has open-sourced its Semantic Modeling Language (SML) to create a standardized, interoperable language for semantic modeling across platforms. Built on YAML, SML supports complex data structures, promotes reusability, and integrates with modern development practices, aiming to enhance collaboration and efficiency in analytics.➽ LG AI Research Open-Sources EXAONEPath: Transforming Histopathology Image Analysis with a 285M Patch-level Pre-Trained Model for Variety of Medical Prediction, Reducing Genetic Testing Time and Costs: LG AI Research's EXAONEPath enhances digital histopathology by addressing Whole Slide Image (WSI) challenges with advanced self-supervised learning and stain normalization. This open-source model improves diagnostic accuracy, reduces genetic testing time, and supports various medical tasks.🚀 Trendspotting: What's Next in Tech Trends➽ How to Trace Memory Allocation in Python? This tutorial demonstrates how to use Python's `tracemalloc` module for tracing memory allocation in memory-intensive operations. It covers setting up a sample dataset, tracking memory usage before and after processing, and comparing snapshots to debug memory issues.➽ Anomaly detection in streaming time series data with online learning using Amazon Managed Service for Apache Flink: This post describes building a real-time anomaly detection system for time series data using AWS services. It outlines how to deploy an end-to-end solution with Amazon Managed Service for Apache Flink, Kafka, and SageMaker, focusing on detecting unusual patterns in streaming data.🛠️ Platform Showdown: Comparing ML Tools & Services➽ 7 Free Cloud IDE for Data Science That You Are Missing Out: To start data science projects quickly, explore these 7 Cloud IDEs: Kaggle Notebooks, Deepnote, Lightning.ai, Datalab by DataCamp, Google Colab, Amazon SageMaker Studio Lab, and DataLore. Each provides pre-built environments and free access to GPUs.➽ Developing End-to-End Data Science Pipelines with Data Ingestion, Processing, and Visualization: The article discusses the iterative nature of data science projects, emphasizing the importance of data ingestion, processing, and visualization. It outlines an end-to-end process involving business understanding, data preparation, model building, and monitoring.➽ Optimizing MLOps for Sustainability: The post outlines optimizing MLOps for sustainability using AWS by improving data preparation, model training, and deployment. Key practices include selecting low-carbon impact regions, using efficient storage, leveraging SageMaker’s tools, and monitoring with AWS services to minimize resource use and emissions.📊 Success Stories: Real-World ML Case Studies➽ GraphRAG auto-tuning provides rapid adaptation to new domains: Microsoft Research's GraphRAG uses large language models to build domain-specific knowledge graphs from text, enabling complex query responses. The tool automates the creation of domain-specific prompts to enhance graph accuracy and streamline knowledge extraction.➽ The “Who Does What” Guide to Enterprise Data Quality: This analysis explores enterprise data quality management, focusing on roles and processes in data detection, triage, resolution, and measurement. It highlights the importance of foundational versus derived data products, and strategies for improving data quality and efficiency.➽ Can AI Agents Do Your Day-to-Day Tasks on Apps? The blog introduces AppWorld, a new benchmarking framework for AI agents that interact with various apps to perform complex tasks. It features a simulated environment, a benchmark of intricate tasks, and a robust evaluation framework to test and improve AI agents’ performance.🌍 ML Newsflash: Latest Industry Buzz & Discoveries➽ Google’s AI detective: The Needle in a Haystack test and how Gemini 1.5 Pro solves it. The blog discusses Google's Gemini 1.5 Pro, an AI model excelling in the "Needle in a Haystack" test. It showcases the model's ability to retrieve specific information from vast datasets across text, video, and audio, outperforming GPT-4 in complex retrieval tasks.➽ Regnology Automates Ticket-to-Code with GenAI on Vertex AI: The blog discusses Regnology's solution to the "Ticket-to-Code Problem," where bug reports are transformed into actionable code. Their Ticket-to-Code Writer tool, enhanced by Google’s Vertex AI and Gemini 1.5 Pro, automates this process, boosting efficiency by 60% and improving accuracy.➽ MedFuzz: Exploring the robustness of LLMs on medical challenge problems. LLMs excel in medical benchmarks but often oversimplify complex real-world scenarios. MedFuzz, inspired by security red-teaming and fuzzing, introduces adversarial challenges to test LLMs against these simplifying assumptions. This approach assesses their true effectiveness in nuanced clinical settings.*{box-sizing:border-box}body{margin:0;padding:0}a[x-apple-data-detectors]{color:inherit!important;text-decoration:inherit!important}#MessageViewBody a{color:inherit;text-decoration:none}p{line-height:inherit}.desktop_hide,.desktop_hide table{mso-hide:all;display:none;max-height:0;overflow:hidden}.image_block img+div{display:none}sub,sup{line-height:0;font-size:75%} @media (max-width: 100%;display:block}.mobile_hide{min-height:0;max-height:0;max-width: 100%;overflow:hidden;font-size:0}.desktop_hide,.desktop_hide table{display:table!important;max-height:none!important}} @media only screen and (max-width: 100%;} #pad-desktop {display: none !important;} }
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Merlyn from Packt
09 Sep 2024
6 min read
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📊 Level Up Your Data Skills – 30% Off All eBooks

Merlyn from Packt
09 Sep 2024
6 min read
Discover fresh perspectives and actionable solutions in our Signature Series. @media only screen and (max-width: 100%;} #pad-desktop {display: none !important;} }🔥 30% Off All eBooks! Level Up Your Data Skills with Signature Series InsightsLive Webinar: The Power of Data Storytelling in Driving Business Decisions (September 10, 2024 at 9 AM CST)Data doesn’t have to be overwhelming. Join our webinar to learn about Data Storytelling and turn complex information into actionable insights for faster decision-making.Click below to check the schedule in your time zone and secure your spot. Can't make it? Register to get the recording instead.REGISTER FOR FREESponsored✨ Welcome to Packt’s Signature Series: New Titles Just Arrived!📚 Introducing our latest special edition: the Signature Series! This exclusive collection delivers fresh perspectives, practical insights, and solutions designed to address today’s key data challenges."Data is the new oil, but refining it is the real challenge." – UnknownIn a field where rapid change and increasing complexity are the norms, staying ahead requires more than basic knowledge. At Packt, we’re committed to providing you with the latest insights and actionable solutions from top experts in the industry.Why You Should Explore This Signature Series:🔍 Tackle Today’s Challenges: Our new releases focus on critical issues, from managing real-time data to mastering predictive analytics, giving you the tools to navigate the data landscape effectively.🚀 Lead the Way: These books feature innovative strategies and practical applications, ensuring you’re not just keeping up but leading in the data domain.🎁 Direct Buying Perks at PacktPub: Enjoy a 30% discount on all eBooks and a 7-day free trial of our subscription service. This is your opportunity to access cutting-edge knowledge and stay ahead of the curve.Explore the Latest Titles in Our Signature Series:➽"Data Science for Decision Makers": Transform your leadership with cutting-edge data science and AI insights by Jon Howells.➽"Data Science for IoT Engineers": Discover how to apply data science and machine learning to drive innovation in IoT with P. G. Madhavan.➽"Bash for Data Scientists": Master shell scripting for your data science projects with expert guidance from Oswald Campesato.➽"Angular and Machine Learning Pocket Primer": Get up to speed on merging machine learning with Angular with this handy guide by Oswald Campesato.➽"AI, ML, and Deep Learning": Dive into advanced AI techniques and practical deep learning methods with Oswald Campesato’s expert advice.Don’t miss this opportunity to enhance your data expertise with insights from industry leaders. Dive into the Signature Series and elevate your skills today!💥Transform Your Data Game with This Week’s Must-Reads“In the world of data, knowledge is power. And the right book can turn complexity into clarity.”This week, we’re excited to present new releases that cater to the evolving needs of data professionals. Whether you're aiming to enhance your data strategy, unravel complex analytics, or adopt the latest technologies, these expertly crafted titles are your gateway to advanced skills and insights.These resources are designed to help you tackle real-world data challenges and advance your skills.Check out our new titles and see how they can support your data journey. Let’s keep learning and growing together!Order Today at $24.99 $35.99Data Science for Decision Makers: Enhance your leadership skills with data science and AI expertiseBy Jon HowellsStruggling to bridge the gap between data science and business leadership? Our new book is here to help!What you’ll gain:✔️ Master statistics and ML to interpret models and drive decisions.✔️ Identify AI opportunities and oversee data projects from start to finish.✔️ Empower teams to tackle complex problems and build AI solutions.Elevate your leadership and make data work for you! Get the book now—just $24.99, down from $35.99!Order Today at $34.98$49.99Data Science for IoT Engineers: Master Data Science Techniques and Machine Learning Applications for Innovative IoT SolutionsBy Mercury Learning and Information, P. G. MadhavanDive into our new book, crafted for engineers, physicists, and mathematicians eager to bridge the gap between theory and practice!What’s inside:✔️ Integrate systems theory and machine learning seamlessly.✔️ Apply practical solutions like digital twins to real-world problems.✔️ Progress from basics to advanced techniques with ease.Whether you're tackling IoT challenges or modeling complex systems, this workbook with MATLAB code will guide you every step of the way. Get the eBook now for just $34.98, down from $49.99! Elevate your skills and tackle IoT and complex systems with confidence.Order Today at $37.99$54.99Bash for Data Scientists: A Comprehensive Guide to Shell Scripting for Data Science TasksBy Mercury Learning and Information, Oswald CampesatoUnlock the power of Bash for your data science projects with our latest book!What’s inside:✔️ Master Bash for efficient data processing with practical, real-world examples.✔️ Learn to integrate with Pandas and databases for advanced data handling.✔️ Get hands-on with grep, sed, and awk to clean and manage datasets effectively.Grab the eBook now for just $37.99, originally $54.99! Elevate your scripting skills and streamline your data tasks today!Order Today at $27.98$39.99Angular and Machine Learning Pocket Primer: A Comprehensive Guide to Angular and Integrating Machine LearningBy Mercury Learning and Information, Oswald CampesatoReady to elevate your Angular apps with machine learning? Our latest Pocket Primer has you covered!What’s inside:✔️ Seamless integration of Angular and machine learning using TensorFlow.js and Keras.✔️ Practical, step-by-step tutorials and real-world examples.✔️ Comprehensive coverage of Angular basics, UI development, and machine learning models.Get the eBook now for just $27.98, originally $39.99! Transform your skills and build sophisticated applications with ease.Order Today at $41.98$59.99Artificial Intelligence, Machine Learning, and Deep Learning: A Practical Guide to Advanced AI TechniquesBy Mercury Learning and Information, Oswald CampesatoDiscover the world of AI with our new book, perfect for expanding your skills from basics to advanced techniques!What’s inside:✔️ In-depth coverage of AI, machine learning, and deep learning.✔️ Practical examples and hands-on tutorials with Keras, TensorFlow, and Pandas.✔️ Explore classifiers, deep learning architectures, NLP, and reinforcement learning.Get the eBook now for just $41.98, down from $59.99! Transform your understanding and apply these cutting-edge concepts in real-world scenarios.We’ve got more great things coming your way—see you soon!*{box-sizing:border-box}body{margin:0;padding:0}a[x-apple-data-detectors]{color:inherit!important;text-decoration:inherit!important}#MessageViewBody a{color:inherit;text-decoration:none}p{line-height:inherit}.desktop_hide,.desktop_hide table{mso-hide:all;display:none;max-height:0;overflow:hidden}.image_block img+div{display:none}sub,sup{line-height:0;font-size:75%} @media (max-width: 100%;display:block}.mobile_hide{min-height:0;max-height:0;max-width: 100%;overflow:hidden;font-size:0}.desktop_hide,.desktop_hide table{display:table!important;max-height:none!important}} @media only screen and (max-width: 100%;} #pad-desktop {display: none !important;} }
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Merlyn from Packt
06 Sep 2024
13 min read
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🌠 Llama-3.1-Storm-8B, CausalLM/miniG, RAG pipelines with LlamaIndex and Amazon Bedrock, Claude for Enterprise \ Anthropic, Concrete ML

Merlyn from Packt
06 Sep 2024
13 min read
Custom Tokenizer with Hugging Face Transformers, Multi-Agent Chat Application Using LangGraph @media only screen and (max-width: 100%;} #pad-desktop {display: none !important;} }Live Webinar: The Power of Data Storytelling in Driving Business Decisions (September 10, 2024 at 9 AM CST)Data doesn’t have to be overwhelming. Join our webinar to learn about Data Storytelling and turn complex information into actionable insights for faster decision-making.Click below to check the schedule in your time zone and secure your spot. Can't make it? Register to get the recording instead.REGISTER FOR FREESponsoredHappy Friday! 🌟Welcome to DataPro #110—Your Ultimate Data Science & ML Update! 🚀In the world of AI and ML, sharp reasoning is the key to smarter decisions and impactful leadership. Our latest insights and strategies will help you boost model accuracy, optimize performance, and cut costs with scalable solutions. Dive in for cutting-edge tips and real-world techniques to elevate your data game.📚 Book Haven: Top Reads & Author Insights◽"Data Science for Decision Makers": Elevate your leadership with data science and AI prowess by Jon Howells.◽"Data Science for IoT Engineers": Unlock data science techniques and ML applications for innovative IoT solutions by P. G. Madhavan.◽"Bash for Data Scientists": Master shell scripting for data science tasks with Oswald Campesato.◽"Angular and Machine Learning Pocket Primer": Get the essentials on integrating ML with Angular, also by Oswald Campesato.◽"AI, ML, and Deep Learning": Explore advanced AI techniques with Oswald Campesato’s practical guide.🔍 Model Breakdown: Algorithm of the Week◽Custom Tokenizers for Non-English Languages: Dive into Hugging Face Transformers for multilingual models.◽Concrete ML Privacy: Secure end-to-end privacy in model training and inference.◽Multilingual Multi-Agent Chat with LangGraph: Build diverse language chat applications.◽Approximating Stochastic Functions: Techniques for multivariate output functions.🪐Trendspotting: Hot Tech Trends◽Legal Reasoning Engines: How reasoning drives legal arguments.◽R Clinical Flowcharts with shinyCyJS: Use R for clinical flowcharting.◽Claude for Enterprise: Explore Anthropic's latest.◽IBM Quantum Update: Qiskit SDK v1.2 release news!🛠️ Platform Showdown: ML Tools & Services◽FastAPI for ML Web Apps: Build powerful web apps with FastAPI.◽DetoxBench: Benchmarking large language models for fraud and abuse detection.◽Llama-3.1-Storm-8B & CausalLM/miniG: New Hugging Face models.◽Build RAG Pipelines: Combine LlamaIndex with Amazon Bedrock for robust pipelines.📊 Success Stories: ML in Action◽Ecommerce Data Quality: Strategies for improving data quality.◽Essential Python Modules: Must-know Python modules for data engineers.◽Avoiding Data Science Mistakes: Tips to steer clear of common pitfalls.◽Thomson Reuters Labs: Accelerating AI/ML innovation with AWS MLOps.◽Galxe & AlloyDB: Cost-cutting success story.🌍 ML Newsflash: Industry Buzz & Discoveries◽GPT-4 for Customer Service: Redefining standards with GPT-4.◽HYGENE: A novel diffusion-based hypergraph generation method.◽Yi-Coder: Meet a compact yet powerful LLM for code.◽Guided Reasoning: New approaches to enhance multi-agent system intelligence.Enjoy the newsletter and have a fantastic weekend! ✨DataPro Newsletter is not just a publication; it’s a complete toolkit for anyone serious about mastering the ever-changing landscape of data and AI. Grab your copyand start transforming your data expertise today!Calling Data & ML Enthusiasts!Want to share your insights and build your online reputation? Contribute to our new Packt DataPro column! Discuss tools, share experiences, or ask questions. Gain recognition among 128,000+ data professionals and boost your CV. Simply reply with your Google Docs link or use our feedback form. Whether you’re looking for visibility or a discreet approach, we’re here to support you.Share your content today and engage with our vibrant community! We’re excited to hear from you!Take our weekly survey and get a free PDF copy of our best-selling book,"Interactive Data Visualization with Python - Second Edition."We appreciate your input and hope you enjoy the book!Share Your Insights and Shine! 🌟💬200+ hours of research on AI-led career growth strategies & hacks packed in 3 hoursThe only AI Crash Course you need to master 20+ AI tools, multiple hacks & prompting techniques in just 3 hoursYou’ll save 16 hours every week & find remote jobs using AI that will pay you upto $10,000/moRegister & save your seat now (100 free seats only)Sponsored📚 Book Haven: Must-Reads & Author InsightsDid you know? “Books are the quietest, most constant friends, holding the world’s treasured wisdom. They offer gentle guidance and timeless lessons, passing their rich inheritance from one generation to the next.”We’re thrilled to bring you this week’s must-have new releases, straight from the experts to your bookshelf! Whether you're eager to enhance your skills or explore new horizons, now is the perfect moment to add these invaluable resources to your collection.For a limited time,enjoy 30% off all eBooks at Packtpub.com. These books are thoughtfully crafted by industry insiders with hands-on experience, offering unique insights you won’t find anywhere else.Don’t let these Packt-exclusive deals slip away—seize the opportunity to learn from the best at an unbeatable price!Order Today at $24.99 $35.99Data Science for Decision Makers: Enhance your leadership skills with data science and AI expertiseBy Jon HowellsStruggling to bridge the gap between data science and business leadership? Our new book is here to help!What you’ll gain:✔️ Master statistics and ML to interpret models and drive decisions.✔️ Identify AI opportunities and oversee data projects from start to finish.✔️ Empower teams to tackle complex problems and build AI solutions.Elevate your leadership and make data work for you! Get the book now—just $24.99, down from $35.99!Order Today at $34.98$49.99Data Science for IoT Engineers: Master Data Science Techniques and Machine Learning Applications for Innovative IoT SolutionsBy Mercury Learning and Information, P. G. MadhavanDive into our new book, crafted for engineers, physicists, and mathematicians eager to bridge the gap between theory and practice!What’s inside:✔️ Integrate systems theory and machine learning seamlessly.✔️ Apply practical solutions like digital twins to real-world problems.✔️ Progress from basics to advanced techniques with ease.Whether you're tackling IoT challenges or modeling complex systems, this workbook with MATLAB code will guide you every step of the way. Get the eBook now for just $34.98, down from $49.99! Elevate your skills and tackle IoT and complex systems with confidence.Order Today at $37.99$54.99Bash for Data Scientists: A Comprehensive Guide to Shell Scripting for Data Science TasksBy Mercury Learning and Information, Oswald CampesatoUnlock the power of Bash for your data science projects with our latest book!What’s inside:✔️ Master Bash for efficient data processing with practical, real-world examples.✔️ Learn to integrate with Pandas and databases for advanced data handling.✔️ Get hands-on with grep, sed, and awk to clean and manage datasets effectively.Grab the eBook now for just $37.99, originally $54.99! Elevate your scripting skills and streamline your data tasks today!Order Today at $27.98$39.99Angular and Machine Learning Pocket Primer: A Comprehensive Guide to Angular and Integrating Machine LearningBy Mercury Learning and Information, Oswald CampesatoReady to elevate your Angular apps with machine learning? Our latest Pocket Primer has you covered!What’s inside:✔️ Seamless integration of Angular and machine learning using TensorFlow.js and Keras.✔️ Practical, step-by-step tutorials and real-world examples.✔️ Comprehensive coverage of Angular basics, UI development, and machine learning models.Get the eBook now for just $27.98, originally $39.99! Transform your skills and build sophisticated applications with ease.Order Today at $41.98$59.99Artificial Intelligence, Machine Learning, and Deep Learning: A Practical Guide to Advanced AI TechniquesBy Mercury Learning and Information, Oswald CampesatoDiscover the world of AI with our new book, perfect for expanding your skills from basics to advanced techniques!What’s inside:✔️ In-depth coverage of AI, machine learning, and deep learning.✔️ Practical examples and hands-on tutorials with Keras, TensorFlow, and Pandas.✔️ Explore classifiers, deep learning architectures, NLP, and reinforcement learning.Get the eBook now for just $41.98, down from $59.99! Transform your understanding and apply these cutting-edge concepts in real-world scenarios.🔍 Model Breakdown: Unveiling the Algorithm of the Week➽ How to Create a Custom Tokenizer for Non-English Languages with Hugging Face Transformers? This blog explains the importance of tokenization in NLP and provides a detailed guide on training a custom tokenizer for non-English languages using Hugging Face libraries, ensuring improved model performance for diverse datasets.➽ End-to-end privacy for model training and inference with Concrete ML: This blog explores how to achieve end-to-end privacy in collaborative machine learning using federated learning and fully homomorphic encryption (FHE). It details a demo with scikit-learn and Concrete ML for secure model training and inference.➽ Building a Multilingual Multi-Agent Chat Application Using LangGraph: This blog details the development of a multilingual chat application to bridge language barriers in workplaces. It covers building features using LangChain and LangGraph, including agent design, translation workflows, and deployment with FastAPI.➽ Approximating Stochastic Functions with Multivariate Outputs: The article describes an enhanced method for training generative machine learning models, named Pin Movement Training (PMT). It extends the original PMT, which approximated single-output stochastic functions, to handle multiple-output functions. The approach uses a neural network and a hypersphere-based Z-space to map and approximate multidimensional outputs, like autoencoders but with uniform sampling for better results.Developing for iOS? Setapp's 2024 report on the state of the iOS market in the EU is a must-seeHow do users in the EU find apps? What's the main source of information about new apps? Would users install your app from a third-party app marketplace?Set yourself up for success with these and more valuable marketing insights in Setapp Mobile's report iOS Market Insights for EU.Get Insights freeSponsored🚀 Trendspotting: What's Next in Tech Trends➽ Reasoning as the Engine Driving Legal Arguments: The article explores how tribunals assess evidence in legal cases, focusing on three key stages: determining evidence relevance, evaluating trustworthiness, and weighing competing evidence. It highlights the role of "reasoning sentences" in explaining decision-making and discusses machine learning techniques for identifying these sentences in legal documents.➽ Use R to build Clinical Flowchart with shinyCyJS: The blog discusses creating Clinical Flowcharts for visualizing clinical trials, focusing on various methods, particularly using R. It details challenges and solutions in drawing flowcharts, including software limitations and customizations with shinyCyJS for precise visual representation.➽ Claude for Enterprise \ Anthropic: The Claude Enterprise plan now offers enhanced features for secure collaboration, including a 500K context window, GitHub integration, and advanced security measures. This allows teams to leverage internal knowledge while safeguarding data.➽ IBM Quantum Computing - Release news: Qiskit SDK v1.2 is here! Qiskit SDK v1.2 introduces major updates, including Rust-based circuit infrastructure for faster performance, improved synthesis and transpilation, and new features. It also ends support for Python 3.8, requiring Python 3.9 or later. 🛠️ Platform Showdown: Comparing ML Tools & Services➽ Using FastAPI for Building ML-Powered Web Apps: This tutorial demonstrates building a machine learning web app using FastAPI and Jinja2 templates. It covers creating a prediction API for a Random Forest model and integrating it with a web interface for user interaction.➽ DetoxBench: Benchmarking large language models for multitask fraud & abuse detection. This paper introduces a benchmark suite to evaluate large language models (LLMs) for detecting and mitigating fraud and abuse in various real-world scenarios, highlighting performance gaps and offering a tool for improving LLMs in high-stakes applications.➽ Llama-3.1-Storm-8B · Hugging Face: The Llama-3.1-Storm-8B model outperforms Meta’s Llama-3.1-8B-Instruct and Hermes-3 across multiple benchmarks. It improves instruction-following, QA, reasoning, and function-calling via self-curation, fine-tuning, and model merging techniques.➽ CausalLM/miniG · Hugging Face: The miniG model has two versions: standard and "alt," the latter trained with masked context to improve stability. Trained on a large dataset with text and image support, it performs best with Hugging Face Transformers for minimal performance degradation.➽ Build powerful RAG pipelines with LlamaIndex and Amazon Bedrock: This blog explores using Retrieval Augmented Generation (RAG) techniques to enhance large language models (LLMs) by integrating external knowledge sources. It discusses building advanced RAG pipelines with LlamaIndex and Amazon Bedrock, covering topics like query routing, sub-question handling, and stateful agents.📊 Success Stories: Real-World ML Case Studies➽ Improving ecommerce data quality: This blog details how Lowe’s enhanced its website search accuracy by fine-tuning OpenAI’s GPT-3.5 model. By applying advanced prompt engineering, Lowe’s improved product data quality, reduced associate workload, and achieved a 20% accuracy boost in product tagging.➽ 10 Built-In Python Modules Every Data Engineer Should Know: This article highlights essential Python modules for data engineering, including tools for file management, data serialization, database interaction, and text processing. It covers how modules like `os`, `pathlib`, `shutil`, and `csv` can enhance data engineering tasks.➽ 5 Common Data Science Mistakes and How to Avoid Them: This blog outlines five common mistakes in data science projects, such as unclear objectives, neglecting basics, poor visualizations, lack of feature engineering, and overemphasizing accuracy. It offers practical solutions to avoid these pitfalls and improve project outcomes.➽ How Thomson Reuters Labs achieved AI/ML innovation at pace with AWS MLOps services? This post details how Thomson Reuters Labs developed a standardized MLOps framework using AWS SageMaker to streamline ML processes. It highlights the creation of TR MLTools and MLTools CLI to enhance efficiency, standardize practices, and accelerate AI/ML innovation.➽ Galxe migrates to AlloyDB for PostgreSQL, cutting costs by 40%: This blog explains how Galxe is addressing Web3 challenges by using AlloyDB for PostgreSQL and Google Cloud services. It highlights Galxe's innovations in decentralized identity, gamified user experiences, and scalable infrastructure to enhance Web3 adoption and performance.🌍 ML Newsflash: Latest Industry Buzz & Discoveries➽ Using GPT-4 to deliver a new customer service standard: Ada, valued at $1.2B with $200M in funding, is leading a $100B shift in customer service with its AI-native automation platform. Since its 2016 inception, Ada has doubled resolution rates using OpenAI’s GPT-4, achieving up to 80% resolution and setting new industry standards for effectiveness.➽ HYGENE: A Diffusion-based Hypergraph Generation Method. The paper introduces HYGENE, a diffusion-based method for generating realistic hypergraphs. Using a bipartite representation, it iteratively expands nodes and hyperedges through a denoising process, effectively modeling complex hypergraph structures. This is the first deep learning approach for hypergraph generation.➽ Meet Yi-Coder: A Small but Mighty LLM for Code. Yi-Coder is an open-source series of coding-focused LLMs, available in 1.5B and 9B parameter sizes. It offers advanced coding performance with up to 128K token context modeling, surpassing models like CodeQwen1.5 and DeepSeek-Coder, and excels in benchmarks such as LiveCodeBench and HumanEval.➽ Guided Reasoning: A New Approach to Improving Multi-Agent System Intelligence. Gregor Betz from Logikon AI introduces Guided Reasoning, a multi-agent system where a guide agent helps client agents improve their reasoning through structured methods. This approach, using argument maps and pros/cons evaluations, aims to enhance clarity and accuracy in AI decision-making and explanations.See you next time! *{box-sizing:border-box}body{margin:0;padding:0}a[x-apple-data-detectors]{color:inherit!important;text-decoration:inherit!important}#MessageViewBody a{color:inherit;text-decoration:none}p{line-height:inherit}.desktop_hide,.desktop_hide table{mso-hide:all;display:none;max-height:0;overflow:hidden}.image_block img+div{display:none}sub,sup{line-height:0;font-size:75%} @media (max-width: 100%;display:block}.mobile_hide{min-height:0;max-height:0;max-width: 100%;overflow:hidden;font-size:0}.desktop_hide,.desktop_hide table{display:table!important;max-height:none!important}} @media only screen and (max-width: 100%;} #pad-desktop {display: none !important;} }
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Merlyn from Packt
30 Aug 2024
13 min read
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❇️ NVIDIA NIM on SageMaker, Weaviate's StructuredRAG, Vectorlite v0.2.0, Imagen 3 on Vertex AI, Cerebras DocChat, Zyphra's Zamba2-mini, AWS DeepRacer

Merlyn from Packt
30 Aug 2024
13 min read
DeepSeek-AI’s Fire-Flyer AI-HPC, Microsoft’s Brain-Inspired AI Design, Fairness in Graph Filtering👋 Hello ,Happy Friday! 🌟Welcome to DataPro #109—Your Weekly Data Science & ML Digest! 🚀This week’s edition is packed with exciting updates! Discover Table-Augmented Generation (TAG) for smarter querying, Vectorlite v0.2.0 for speedy SQL-powered search, Zyphra's Zamba2-mini, and Weaviate's StructuredRAG for reliable AI outputs. Plus, we’ve curated top resources to supercharge your ML models with enhanced accuracy and efficiency!⚡ Tech Tidbits: Fresh Innovations and Tools▪️ AWS: Speed up AI inference with NVIDIA NIM on SageMaker and integrate Amazon Q with GitHub.▪️ Google ML: Explore multimodal search with BigQuery and get the lowdown on Imagen 3 on Vertex AI.▪️ Microsoft Research: Dive into brain-inspired AI design for next-gen tech.📚 Hot Reads from Packt Library▪️ Data Science Fundamentals Pocket Primer: Your essential guide to data science concepts.▪️ Mastering Looker and LookML: Create insightful views, dashboards, and databases.▪️ AI and Expert Systems: Techniques and applications for solving real-world problems.🔍 From Bits to BERT: LLMs & GPTs Spotlight▪️ TAG: Revolutionize database querying with a unified approach.▪️ Vectorlite v0.2.0: Get SQL-powered vector search with speed.▪️ StructuredRAG by Weaviate: Benchmark for reliable JSON outputs in AI.▪️ Cerebras DocChat: Fast, Llama 3-based GPT-4-level QA.▪️ Extension|OS: Open-source tool for on-demand AI access.▪️ AI21 Labs' Jamba 1.5: Quick, high-quality multilingual AI.▪️ LayerPano3D: AI framework for generating 3D scenes from text.▪️ Zyphra's Zamba2-mini: High-performance small language model.▪️ Fairness in Graph Filtering: Framework for better AI fairness.▪️ iAsk AI: Outperforming ChatGPT on MMLU Pro Test.▪️ DeepSeek-AI’s Fire-Flyer AI-HPC: Cost-effective deep learning solution.✨ On the Radar: What’s New & Noteworthy▪️ New LLM Agents: Exploring the latest architecture.▪️ Pandas Power: Advanced plotting techniques.▪️ AWS DeepRacer: Bridging the Sim2Real gap.▪️ MarianMT Translation: Easy language translation with Hugging Face Transformers.▪️ Building Transformers: A guide to training from scratch.▪️ ML Optimization: Top tips for boosting algorithm performance.Enjoy your weekend and stay ahead in the world of data science!DataPro Newsletter is not just a publication; it’s a complete toolkit for anyone serious about mastering the ever-changing landscape of data and AI. Grab your copyand start transforming your data expertise today!Calling Data & ML Enthusiasts!Want to share your insights and build your online reputation? Contribute to our new Packt DataPro column! Discuss tools, share experiences, or ask questions. Gain recognition among 128,000+ data professionals and boost your CV. Simply reply with your Google Docs link or use our feedback form. Whether you’re looking for visibility or a discreet approach, we’re here to support you.Share your content today and engage with our vibrant community! We’re excited to hear from you!Take our weekly survey and get a free PDF copy of our best-selling book,"Interactive Data Visualization with Python - Second Edition."We appreciate your input and hope you enjoy the book!Share Your Insights and Shine! 💬📚Expert Insights from Packt CommunityDid you know? “Books are the quietest, most constant friends, holding the world’s treasured wisdom. They offer gentle guidance and timeless lessons, passing their rich inheritance from one generation to the next.”We’re thrilled to bring you this week’s must-have new releases, straight from the experts to your bookshelf! Whether you're eager to enhance your skills or explore new horizons, now is the perfect moment to add these invaluable resources to your collection.For a limited time, enjoy 30% off all eBooks at Packtpub.com. These books are thoughtfully crafted by industry insiders with hands-on experience, offering unique insights you won’t find anywhere else.Don’t let these Packt-exclusive deals slip away—seize the opportunity to learn from the best at an unbeatable price!Order Today at $41.98 $59.99Data Science Fundamentals Pocket Primer: An Essential Guide to Data Science Concepts and TechniquesBy Mercury Learning and Information, Oswald CampesatoImagine having a go-to guide that gently walks you through the essentials of data science, making complex concepts feel accessible. This book does just that. With a blend of practical exercises and real-world examples, it simplifies the vast world of data science. Here’s what you’ll love:- A clear introduction to data science fundamentals.- Hands-on learning with practical examples.- Mastery of tools like Python, NumPy, Pandas, and R.- Techniques for data visualization to bring your data to life.Whether you're just starting or looking to sharpen your skills, this book is your companion on the journey to mastering data science.Get your copy now for $41.98 (originally $59.99).Order TodayMastering Looker and LookML - Complete Looker Guide for Developers: Master Looker and LookML to create views, dashboards, and databases with this guide [Video]By HHN Automate Book Inc.Embark on a journey to unlock the full potential of Looker with our all-encompassing course. Whether you’re new to Looker or looking to deepen your skills, this course guides you step-by-step through everything you need to know.Here’s what you can expect:- Hands-on tutorials for setting up your environment and connecting data.- In-depth exploration of LookML fields, parameters, and joins.- Advanced techniques for creating and managing impactful dashboards.By the end, you’ll have the confidence to create dynamic, data-driven insights that can drive meaningful decisions in your organization.Get the full video course now for $104.99 (MP4 download available).Order Today at $34.98 $49.99Artificial Intelligence and Expert Systems: Techniques and Applications for Problem SolvingBy Mercury Learning and Information ,I. Gupta ,G. NagpalDive into the world of AI with a guide that makes complex concepts approachable and practical. This book is your gateway to mastering AI, offering:- In-depth coverage of AI and expert systems.- Clear explanations paired with real-world applications.- Exploration of advanced topics like neural networks and fuzzy logic.From understanding the basics of AI to applying expert systems and neural networks, this book equips you with the tools to solve real-world problems. Perfect for anyone eager to enhance their knowledge of intelligent systems.Grab your copy now for $34.98 (originally $49.99).🔰 Data Science Tool Kit➤ NicolasHug/Surprise:Python scikit for building recommender systems with explicit rating data, emphasizing experiment control, dataset handling, and diverse prediction algorithms.➤ gorse-io/gorse:Open-source recommendation system in Go, designed for universal integration into online services, automating model training based on user interaction data.➤ recommenders-team/recommenders:Recommenders, a Linux Foundation project, offers Jupyter notebooks for building classic and cutting-edge recommendation systems, covering data prep, modeling, evaluation, optimization, and production deployment on Azure.➤ alibaba/Alink:Alink, developed by Alibaba's PAI team, integrates Flink for ML algorithms. PyAlink supports various Flink versions, maintaining compatibility up to Flink 1.13.➤ RUCAIBox/RecBole:RecBole, built on Python and PyTorch, facilitates research with 91 recommendation algorithms across general, sequential, context-aware, and knowledge-based categories.Access 100+ data tools in this specially curated blog, covering everything from data analytics to business intelligence—all in one place. Check out"Top 100+ Essential Data Science Tools & Repos: Streamline Your Workflow Today!"on PacktPub.com.⚡Tech Tidbits: Stay Wired to the Latest Industry Buzz!AWS ML Made Easy➤ Accelerate Generative AI Inference with NVIDIA NIM Microservices on Amazon SageMaker: The blog details NVIDIA's new NIM Inference Microservices integration with Amazon SageMaker, enabling fast, cost-effective deployment of large language models. It covers the use of prebuilt containers for efficient AI inferencing and provides a guide for setup and evaluation.➤ Connect the Amazon Q Business generative AI coding companion to your GitHub repositories with Amazon Q GitHub (Cloud) connector: This blog explains how incorporating generative AI, like Amazon Q Developer, can boost development productivity by up to 30% and streamline developer tasks. It details integrating Amazon Q Business with GitHub (Cloud) for natural language queries to manage repositories and enhance enterprise operations.Mastering ML with Google➤ Multimodel search using NLP, BigQuery and embeddings: This blog introduces a new era in search with multimodal embeddings, enabling text-based queries for images and videos. It showcases a demo for cross-modal search using Google Cloud Storage and BigQuery, allowing users to search for visual content through text queries.➤ A developer's guide to Imagen 3 on Vertex AI: The blog highlights user feedback on Imagen 3, emphasizing its need for high-quality, versatile image generation. It discusses improvements in artistic style, prompt adherence, and safety features like watermarking. Code examples illustrate creating photorealistic images and rendering text with the model.Microsoft Research Insights➤ Innovations in AI: Brain-inspired design for more capable and sustainable technology. Microsoft Research Asia, in collaboration with multiple institutions, is developing brain-inspired AI models to improve efficiency and sustainability. Key projects include CircuitNet for neural patterns, enhanced spiking neural networks (SNNs) for time-series prediction, and integrating central pattern generators for better sequence processing.🔍From Bits to BERT: Keeping Up with LLMs & GPTs➤ Table-Augmented Generation (TAG): A Unified Method for Improved Database Querying. Researchers from UC Berkeley and Stanford propose Table-Augmented Generation (TAG) to improve natural language queries over databases. TAG enhances query handling by combining query synthesis, execution, and answer generation, outperforming existing methods like Text2SQL and RAG in accuracy and complexity.➤ Vectorlite v0.2.0: Fast, SQL-Powered Vector Search with SQLite Driver. Vectorlite v0.2.0 enhances performance by using Google’s highway library for vector distance, addressing hnswlib’s limitations on SIMD instruction support and vector normalization. The update improves speed significantly, especially on x64 platforms with AVX2, and is now SIMD-accelerated on ARM.➤ StructuredRAG by Weaviate: Benchmark for Reliable JSON Output in AI. The StructuredRAG benchmark evaluates LLMs' ability to generate structured outputs like JSON. Testing Gemini 1.5 Pro and Llama 3 8B-instruct with various prompting strategies revealed an 82.55% success rate on average, with performance varying significantly by task and model.➤ Cerebras DocChat: Llama 3-Based GPT-4-Level QA in Hours. Cerebras has released two models for document-based Q&A: Llama3-DocChat and Dragon-DocChat, trained quickly using Cerebras Systems. Llama3-DocChat builds on Llama 3, while Dragon-DocChat improves on Dragon+ with enhanced recall. Both models and their training data are open-source.➤ Extension|OS: Open-Source Browser Tool for On-Demand AI Access. Extension|OS is a browser extension that integrates AI tools directly into web pages, allowing users to perform tasks like grammar checks and content edits without switching tabs. It features prompt customization, secure API key storage, and enhanced functionality with a Mixture of Agents.➤ AI21 Labs' Jamba 1.5 Models: Speedy, Quality, Multilingual AI. AI21's Jamba 1.5 Open Model Family features the Jamba 1.5 Mini and Large models, built on the SSM-Transformer architecture. They offer the longest context window, exceptional speed, and high quality. Jamba 1.5 models outperform competitors and support extensive enterprise applications.➤ LayerPano3D: AI Framework for Consistent 3D Scene Generation from Text. LayerPano3D introduces a novel framework for generating full-view, explorable panoramic 3D scenes from a single text prompt. By decomposing 2D panoramas into layered 3D representations, it achieves high-quality, consistent views and immersive exploration, surpassing existing methods.➤ Zyphra's Zamba2-mini: Efficient, High-Performance Small Language Model. Zamba2-1.2B improves hybrid SSM-transformer models by adding rotary embeddings and LoRA projectors for depth-specialization, enhancing performance. Developed to optimize model efficiency and accuracy, it’s applicable in real-world scenarios like advanced NLP tasks and code generation.➤ Fairness in Graph Filtering: Framework for Theory and Mitigation Techniques. The paper addresses fairness in GNN-based recommendation systems, which often overlook consumer fairness. It evaluates a new method for adjusting fairness via fair graph augmentation. This approach consistently improves fairness across various GNN models and datasets, advancing recommendation system equity.➤ iAsk Ai Outperforms ChatGPT and Others on MMLU Pro Test: The iAsk Pro model achieved a record 85.85% accuracy on the MMLU-Pro benchmark, surpassing all current LLMs, including GPT-4o, by over 13 percentage points. This dataset, with 12,000 complex questions, tests multi-task language comprehension rigorously. iAsk Pro's performance highlights its advanced reasoning and understanding capabilities, setting a new standard in AI evaluation.➤ Lite Oute 2 Mamba2Attn 250M: 10X More Efficient AI. The Lite Oute 2 Mamba2Attn 250M model, using the new Mamba2 architecture with attention layers, boasts 250 million parameters and achieves high benchmark scores. It was developed for improved efficiency and performance in various tasks, showing enhanced results in multiple evaluations compared to previous models.➤ DeepSeek-AI Launches Fire-Flyer AI-HPC: Cost-Effective Deep Learning Solution. The Fire-Flyer AI-HPC architecture addresses high costs and energy demands in Deep Learning by integrating hardware-software design. With 10,000 PCIe A100 GPUs, it cuts costs by 50% and reduces energy use by 40%, improving scalability and performance.✨On the Radar: Catch Up on What's Fresh➤ Navigating the New Types of LLM Agents and Architectures: The post explores the evolution of AI agents from early ReAct models to the second generation of more structured, efficient agents. It introduces tools and frameworks for building these agents and highlights advancements in design and performance. Key insights include improvements in routing and state management.➤ The Power of Pandas Plots: Backends. The article highlights how Pandas can leverage various visualization backends, such as Matplotlib, Plotly, and Hvplot, to enhance data visualization without extensive retraining. It shows how easy it is to switch between these backends for interactive and efficient plotting, emphasizing Hvplot's ease of use and integration.➤ AWS DeepRacer : A Practical Guide to Reducing The Sim2Real Gap. The article focuses on training the AWS DeepRacer to safely navigate a track. It emphasizes creating a "safe" model that prioritizes staying on the track over speed. Key aspects include setting up the track, designing reward functions, and using a discrete action space. It details iterative training, starting with slower models and gradually increasing speed, to enhance both safety and performance. The final reward function balances staying on the track and adjusting speed for turns, with iterative improvements for increased reliability.➤ How to Translate Languages with MarianMT and Hugging Face Transformers? The article explains how to use MarianMT with Hugging Face Transformers for language translation. It covers installation, model selection, loading, tokenization, and translating text. The guide provides steps for translating to multiple languages and highlights MarianMT’s ease of use and effectiveness.➤ How to Build and Train a Transformer Model from Scratch with Hugging Face Transformers? The Hugging Face Transformers library enables both the use of pre-trained models and the creation of custom transformer models from scratch. This tutorial guides you through setting up, tokenizing data, configuring, and training a transformer for sentiment classification, emphasizing the need for high-performance computing resources.➤ 5 Tips for Optimizing Machine Learning Algorithms: This blog provides key tips for optimizing machine learning algorithms, focusing on data preparation, hyperparameter tuning, cross-validation, regularization, and ensemble methods. It aims to improve the accuracy, efficiency, and robustness of ML models for real-world applications.See you next time!*{box-sizing:border-box}body{margin:0;padding:0}a[x-apple-data-detectors]{color:inherit!important;text-decoration:inherit!important}#MessageViewBody a{color:inherit;text-decoration:none}p{line-height:inherit}.desktop_hide,.desktop_hide table{mso-hide:all;display:none;max-height:0;overflow:hidden}.image_block img+div{display:none}sub,sup{line-height:0;font-size:75%} @media (max-width: 100%;display:block}.mobile_hide{min-height:0;max-height:0;max-width: 100%;overflow:hidden;font-size:0}.desktop_hide,.desktop_hide table{display:table!important;max-height:none!important}}
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Merlyn from Packt
23 Aug 2024
12 min read
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🧮 Jamba 1.5 on Vertex AI, Snowflake Arctic on Amazon SageMaker JumpStart, Mistral-NeMo-Minitron 8B, DaRec Framework, Answer.AI's ColBERT

Merlyn from Packt
23 Aug 2024
12 min read
Microsoft AI Releases Phi 3.5 mini, MoE and Vision with 128K context, Multilingual and MIT License👋 Hello ,Happy Friday! 🌟Welcome toDataPro #108—Your Weekly Data Science & ML Digest! 🚀This week, we’re diving into exciting new advancements, including Snowflake Arctic’s debut on Amazon SageMaker JumpStart, the Jamba 1.5 Model Family on Vertex AI, and Mistral-NeMo-Minitron's game-changing efficiency. Plus, we’ve handpicked top resources for big data processing, extraction, and modeling just for you!⚡Quick Bytes: Stay Ahead of the Curve!AWS Gets a BoostSnowflake Arctic Now on Amazon SageMaker JumpStart:Elevate your models with this latest addition.Optimize with AI:Explore Amazon Redshift Serverless for smarter scaling.Google's ML PowerhouseJamba 1.5 on Vertex AI:Unleash AI21 Labs' latest models.Airflow Mastery:Tackle Apache Airflow with new Cloud Composer updates.📚 Must-Read ResourcesEssential Data Science GuideData Science Fundamentals Pocket Primer: Your go-to manual for key concepts.Unlock Looker’s PotentialMastering Looker and LookML: Become a pro in views, dashboards, and databases.AI Techniques DemystifiedArtificial Intelligence and Expert Systems: Dive deep into problem-solving with AI.🔍LLMs & GPTs: What's New?DaRec FrameworkPlug-and-Play Alignment: Revolutionize your models with DaRec.Tinygrad InsightsSimplified Deep Learning: Experiment with this lightweight framework.NVIDIA’s LatestMistral-NeMo-Minitron: Redefining performance with advanced techniques.Microsoft AI UpdatePhi 3.5 Mini: Multilingual, scalable, and open-source.Innovative ProjectsOpenResearcher: AI-driven research acceleration.DeepSeek-Prover: The new leader in formal theorem proving.E-commerce AdvancementsMarqo Fashion Models: Tailored embeddings for retail success.Compact AI SolutionsAnswer.AI's ColBERT: Faster and smarter search models.✨ Spotlight: What’s TrendingGenAI’s Document Extraction Revolution:Transforming the way we process information.AI-Driven Prosperity:The future of work and universal basic income.Machine Unlearning:A crucial skill for modern data scientists.Protecting Speaker Privacy:New tools for DNN-based speech processing.Azure Cloud Platforms:Building robust data solutions with Azure Landing Zones.Stay inspired and ahead of the curve! 🌐DataPro Newsletter is not just a publication; it’s a complete toolkit for anyone serious about mastering the ever-changing landscape of data and AI. Grab your copyand start transforming your data expertise today!Calling Data & ML Enthusiasts!Want to share your insights and build your online reputation? Contribute to our new Packt DataPro column! Discuss tools, share experiences, or ask questions. Gain recognition among 128,000+ data professionals and boost your CV. Simply reply with your Google Docs link or use our feedback form. Whether you’re looking for visibility or a discreet approach, we’re here to support you.Share your content today and engage with our vibrant community! We’re excited to hear from you!Take our weekly survey and get a free PDF copy of our best-selling book,"Interactive Data Visualization with Python - Second Edition."We appreciate your input and hope you enjoy the book!Share Your Insights and Shine! 🌟💬📚Expert Insights from Packt CommunityDid you know? “Books are the quietest, most constant friends, holding the world’s treasured wisdom. They offer gentle guidance and timeless lessons, passing their rich inheritance from one generation to the next.”We’re thrilled to bring you this week’s hottest new releases, straight from the experts to your bookshelf! Whether you’re aiming to upskill or explore something new, now’s the perfect time to grab these invaluable resources.As a special thank you to our newsletter readers, enjoy an exclusive30% off all eBooks at Packtpub.com.Crafted by industry professionals, these books offer unique insights you won’t find elsewhere.Don’t miss out on these Packt-exclusive deals—your chance to learn from the best at a fantastic price!Data Science Fundamentals Pocket Primer: An Essential Guide to Data Science Concepts and TechniquesBy Mercury Learning and Information, Oswald CampesatoImagine having a go-to guide that gently walks you through the essentials of data science, making complex concepts feel accessible. This book does just that. With a blend of practical exercises and real-world examples, it simplifies the vast world of data science. Here’s what you’ll love:- A clear introduction to data science fundamentals.- Hands-on learning with practical examples.- Mastery of tools like Python, NumPy, Pandas, and R.- Techniques for data visualization to bring your data to life.Whether you're just starting or looking to sharpen your skills, this book is your companion on the journey to mastering data science.Get your copy now for $41.98 (originally $59.99).Mastering Looker and LookML - Complete Looker Guide for Developers: Master Looker and LookML to create views, dashboards, and databases with this guide [Video]By HHN Automate Book Inc.Embark on a journey to unlock the full potential of Looker with our all-encompassing course. Whether you’re new to Looker or looking to deepen your skills, this course guides you step-by-step through everything you need to know.Here’s what you can expect:- Hands-on tutorials for setting up your environment and connecting data.- In-depth exploration of LookML fields, parameters, and joins.- Advanced techniques for creating and managing impactful dashboards.By the end, you’ll have the confidence to create dynamic, data-driven insights that can drive meaningful decisions in your organization.Get the full video course now for $104.99 (MP4 download available).Artificial Intelligence and Expert Systems: Techniques and Applications for Problem SolvingBy Mercury Learning and Information ,I. Gupta ,G. NagpalDive into the world of AI with a guide that makes complex concepts approachable and practical. This book is your gateway to mastering AI, offering:- In-depth coverage of AI and expert systems.- Clear explanations paired with real-world applications.- Exploration of advanced topics like neural networks and fuzzy logic.From understanding the basics of AI to applying expert systems and neural networks, this book equips you with the tools to solve real-world problems. Perfect for anyone eager to enhance their knowledge of intelligent systems.Grab your copy now for $34.98 (originally $49.99).🔰 Data Science Tool Kit➤SeldonIO/alibi:Alibi is a Python library focused on machine learning model inspection, offering diverse explanation methods for classification and regression models.➤Trusted-AI/AIX360:AI Explainability 360 offers an open-source Python toolkit for detailed model interpretability across various data types, supporting diverse explanation methods.➤dssg/aequitas:Aequitas is an open-source toolkit for bias auditing and Fair ML, aiding data scientists and researchers in assessing and correcting model biases.➤albermax/innvestigate:iNNvestigate is a Python library providing a unified interface for various methods to analyze neural networks' predictions and understand their internal workings.➤mindsdb/lightwood:Lightwood is an AutoML framework simplifying machine learning pipelines with JSON-AI syntax, allowing customization and automation across diverse data types.Access 100+ data tools in this specially curated blog, covering everything from data analytics to business intelligence—all in one place. Check out"Top 100+ Essential Data Science Tools & Repos: Streamline Your Workflow Today!"on PacktPub.com.⚡Tech Tidbits: Stay Wired to the Latest Industry Buzz!AWS ➤Snowflake Arctic models are now available in Amazon SageMaker JumpStart:Snowflake Arctic Instruct, an enterprise-grade LLM by Snowflake, is now available on Amazon SageMaker JumpStart. It offers exceptional capabilities in SQL querying, coding, and instruction following, optimized for cost-efficiency and performance. The post guides deploying and using the model for enterprise-focused tasks through SageMaker.➤Optimize your workloads with Amazon Redshift Serverless AI-driven scaling and optimization:Amazon Redshift Serverless now features AI-driven scaling, optimizing compute resources based on query complexity, data volume, and more, beyond just query queuing. This enhances performance and cost management, enabling better efficiency in handling varied workloads, as demonstrated through detailed use cases.Google➤Jamba 1.5 Model Family from AI21 Labs is now available on Vertex AI:AI21 Labs has launched the Jamba 1.5 Model Family on Google Cloud's Vertex AI Model Garden. The models, Jamba 1.5 Mini and Jamba 1.5 Large, are designed for enterprise applications like customer service and financial analysis. These models feature a 256K context window, Mamba-Transformer architecture, and advanced developer tools, supporting high-quality, efficient AI solutions on a fully managed infrastructure.➤Apache Airflow hierarchy and alerting options with Cloud Composer:This guide discusses the importance of robust logging and alerting for Google Cloud's managed Airflow service, Cloud Composer. It outlines the alerting hierarchy, explains different alerting options, including log-based alerting policies, and provides sample code to set up alerts for monitoring DAGs and tasks effectively.🔍From Bits to BERT: Keeping Up with LLMs & GPTs➤DaRec: A Novel Plug-and-Play Alignment Framework for LLMs and Collaborative Models.This blog discusses the development and evaluation of DaRec, an innovative framework designed to align large language models (LLMs) with collaborative filtering models in recommender systems. By disentangling representations and employing dual-level structure alignment, DaRec overcomes challenges in integrating LLMs, demonstrating superior performance across various datasets.➤Tinygrad: A Simplified Deep Learning Framework for Hardware Experimentation.This blog discusses Tinygrad, a new deep learning framework designed for simplicity and flexibility, making it easier for developers to experiment with and add support for new hardware accelerators. Despite its simplicity, Tinygrad can run popular models and offers promising potential for innovation.➤MegaAgent: A Practical AI Framework Designed for Autonomous Cooperation in Large-Scale LLM Agent Systems.This blog discusses MegaAgent, a new framework for LLM-powered multi-agent systems (LLM-MA), designed to enhance autonomy and scalability. By enabling dynamic task splitting, parallel execution, and real-time coordination among many agents, MegaAgent overcomes the limitations of traditional sequential models, making it highly effective for complex, large-scale tasks.➤Mistral-NeMo-Minitron 8B Released: NVIDIA's Latest AI Model Redefines Efficiency and Performance Through Advanced Pruning and Knowledge Distillation Techniques.This blog discusses NVIDIA's Mistral-NeMo-Minitron 8B, an advanced large language model created using width-pruning and knowledge distillation. It outperforms similar models in its size class, showcasing impressive efficiency and accuracy, and setting a new standard in natural language processing.➤Microsoft AI Releases Phi 3.5 mini, MoE and Vision with 128K context, Multilingual and MIT License:This blog discusses Microsoft's introduction of three advanced AI models—Phi 3.5 Mini Instruct, Phi 3.5 MoE, and Phi 3.5 Vision Instruct—each designed for specific tasks in natural language processing, multimodal AI, and high-performance computing, showcasing significant advancements in efficiency and capability.➤OpenResearcher: An Open-Source Project that Harnesses AI to Accelerate Scientific Research.This blog discusses the introduction of OpenResearcher, an open-source AI tool designed to assist researchers by offering a unified solution for scientific queries. It outperforms existing industry tools by actively guiding users, leveraging Retrieval-Augmented Generation, and delivering accurate, elaborate answers.➤DeepSeek-AI Open-Sources DeepSeek-Prover-V1.5: A Language Model with 7 Billion Parameters that Outperforms all Open-Source Models in Formal Theorem Proving in Lean 4.This blog discusses DeepSeek-Prover-V1.5, a language model designed to tackle formal theorem proving challenges in systems like Lean and Isabelle. By integrating proof-step and whole-proof generation with advanced techniques like Monte-Carlo tree search, the model significantly improves formal proof generation accuracy and efficiency.➤Marqo Releases Marqo-FashionCLIP and Marqo-FashionSigLIP: A Family of Embedding Models for E-Commerce and Retail.This blog discusses the release of two advanced multimodal models, Marqo-FashionCLIP and Marqo-FashionSigLIP, for fashion search and recommendation. These models improve search accuracy and personalization by merging visual and textual data, outperforming previous models in various benchmarks and offering faster inference times.➤Answer.AI Releases answerai-colbert-small: A Proof of Concept for Smaller, Faster, Modern ColBERT Models.AnswerAI's answerai-colbert-small-v1 is a compact 33 million parameter model that outperforms larger models in multi-vector retrieval tasks. Built on ColBERT architecture and enhanced by JaColBERTv2.5, it excels in out-of-domain generalization, demonstrating impressive efficiency and future compatibility.✨On the Radar: Catch Up on What's Fresh➤Document Extraction Is GenAI’s Killer App:The blog discusses the challenges of understanding and standardizing job titles and seniority from résumés, a task that remained difficult even for LinkedIn's data team. However, large language models like GPT-4 can now easily tackle these tasks, highlighting the potential for LLMs in automating complex document analysis and extraction processes. The author and their cofounder created Docupanda.io to address text extraction challenges from complex documents, offering a solution where existing tools fall short.➤The End of Required Work: Universal Basic Income and AI-Driven Prosperity.The blog discusses the inevitability of AI taking over most jobs, emphasizing the need for society to adapt by implementing solutions like taxing AI work to fund Universal Basic Income (UBI). This approach aims to fairly distribute AI-generated wealth, ensuring societal well-being and avoiding dystopian inequity.➤Learning to Unlearn: Why Data Scientists and AI Practitioners Should Understand Machine Unlearning.The article discusses the widespread digital footprint of over 5.9 billion people, primarily due to social media, and the challenges of data privacy in AI. It introduces concepts like Machine Unlearning and the SISA framework to address privacy concerns by enabling the removal of specific data points from AI models without retraining the entire model.➤Speaker’s Privacy Protection in DNN-Based Speech Processing Tools:This post introduces "Privacy-PORCUPINE," a privacy-preserving technique for speech processing, addressing potential privacy threats from vector quantization in deep neural network bottlenecks. It proposes Space-Filling Vector Quantization (SFVQ) with resampling to ensure equal codebook element occurrences, minimizing private information leakage.➤The Azure Landing Zone for a Data Platform in the Cloud:This post discusses designing a secure Azure cloud infrastructure for data platforms, emphasizing the importance of implementing Azure landing zones, networking, naming conventions, and Infrastructure as Code (IasC) to ensure security and consistency across environments, especially when handling sensitive data.See you next time!*{box-sizing:border-box}body{margin:0;padding:0}a[x-apple-data-detectors]{color:inherit!important;text-decoration:inherit!important}#MessageViewBody a{color:inherit;text-decoration:none}p{line-height:inherit}.desktop_hide,.desktop_hide table{mso-hide:all;display:none;max-height:0;overflow:hidden}.image_block img+div{display:none}sub,sup{line-height:0;font-size:75%} @media (max-width: 100%;display:block}.mobile_hide{min-height:0;max-height:0;max-width: 100%;overflow:hidden;font-size:0}.desktop_hide,.desktop_hide table{display:table!important;max-height:none!important}}
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