AI Distilled

OpenAI says Microsoft Isn’t Moving Fast Enough to Supply ServersAI_Distilled #71: Godfather of AI wins Nobel PrizeNotion for StartupsThousands of startups use Notion as a connected workspace to create and share docs, take notes, manage projects, and organize knowledge—all in one place. We’re offering 6 months of new Plus plans, including unlimited Notion AI so you can try it all for free!Redemption InstructionsTo redeem the Notion for Startups offer:Submit an application using our custom link: https://ntn.so/packt and select Packt on the partner list.Include our partner key, STARTUP4110P19151.Free 6 month Notion Plus Access! Use our Packt Partner KeyWelcome to AI_Distilled. Today, we’ll talk about:Techwave:Godfather of AI wins Nobel PrizeOpenAI says Microsoft Isn’t Moving Fast Enough to Supply ServersCollege students used Meta’s smart glasses to dox people in real timeMeta Movie GenCanvas is a new way to write and code with ChatGPTAwesome AI:Kvistly: AI-Quizzes for Better Trainings and Team BuildingsAdobe Content Authenticity Web AppTheneo: AI-Powered API Docs: Automate, Collaborate, InnovateSelfletter: Break complex goals into small tasks with AICostGPT AI: Generate software cost & time estimatesMasterclass:Andrej Karpathy reveals LLM outputs are unexpectedly similarPrompting technique boosting Claude 3.5 Sonnetto match O1 models on complex reasoningAnthropicintroduces automatic Artifact error fixingin ClaudeGPT-4achieves 88% diagnostic accuracy, outperforming doctors by 15% in clinical reasoning testNVIDIA droppedmultimodal language model that rivals GPT-4and Llama-3.1 405B.HackHubJailbreak_llms: A dataset consists of 15,140 ChatGPT prompts from Reddit, Discord, websites, and open-source datasets (including 1,405 jailbreak prompts).roboflow/supervision: We write your reusable computer vision toolsManim: A community-maintained Python framework for creating mathematical animationsVoiceRestore: Open-source model restores audio quality, fixing noise and distortions.Auto_Jobs_Applier_AIHawk: Tool that automates the jobs application process. Utilizing artificial intelligence, it enables users to apply for multiple job offers in an automated and personalized way.Packt Conference Alert:Stay ahead in AI! Join 3 days of LIVE sessions with 20+ top experts and unlock the full potential of Generative AI at our upcoming conference. Don't miss out- Claim your spot today!Cheers!Shreyans SinghEditor-in-Chief, PacktSecure and Simplify: Salesforce Data Protection with RubrikWhat if your Salesforce data was suddenly lost or corrupted? Human errors, accidental deletions, misconfigurations can all contribute to data loss. 1 of 2 SaaS users that did not implement SaaS data protection experienced data loss or corruption in the last 12 months.Check out this exclusive webinar where we reveal Rubrik's new integration with Salesforce, designed to tackle this exact issue.Watch On-Demand⚡ TechWave: AI/GPT News & AnalysisGodfather of AI' wins Nobel PrizeGeoffrey Hinton, often called the "Godfather of AI," and John Hopfield won the 2024 Nobel Prize in Physics for their groundbreaking work on artificial intelligence. Hinton's research on neural networks, which mimic how the human brain learns, paved the way for AI systems like ChatGPT, while Hopfield's work involved creating a network that can recall patterns similarly to human memory.OpenAI Leaders Say Microsoft Isn’t Moving Fast Enough to Supply ServersOpenAI is expanding beyond Microsoft for its cloud computing needs, seeking additional support from Oracle due to concerns that Microsoft can't provide servers fast enough to keep up with its growing AI demands. CEO Sam Altman and CFO Sarah Friar revealed that OpenAI is negotiating with Oracle to lease a massive data center in Texas, which could house large numbers of AI chips by 2026. OpenAI still relies on Microsoft's Azure, but also plans to develop its own AI chips to reduce costs.College students used Meta’s smart glasses to dox people in real timeTwo Harvard students demonstrated how Meta’s smart glasses can be used to dox people in real time by combining facial recognition technology with public databases. Their project, called I-XRAY, used the glasses to livestream video, which was analyzed by AI to identify faces and retrieve personal information like names, addresses, and phone numbers from online databases. This demo shows how easily existing tech can be misused, raising privacy concerns. While the students did not intend to release the tool, their goal was to highlight that this capability exists now, not in some distant future.Meta Movie GenMeta's "Movie Gen" is an advanced AI tool that allows users to generate and edit custom videos, sound effects, and personalized content using simple text inputs. With this AI, users can create high-definition videos, modify existing footage, and even transform images into personalized animations. The technology supports creating both visuals and soundtracks, enabling content creators to produce immersive media experiences easily.Canvas is a new way to write and code with ChatGPTCanvas is a new feature for ChatGPT designed to enhance collaboration on writing and coding projects. It opens in a separate window, allowing users to interact with ChatGPT beyond just chat, providing a more flexible space to edit, refine, and develop ideas. Users can highlight sections for feedback, receive inline suggestions, and perform quick actions like adjusting text length or debugging code.💻 Awesome AI: Tools for WorkKvistly:AI-Quizzes for Better Trainings and Team BuildingsAdobe Content Authenticity Web AppAdobe has introduced a free web app called Adobe Content Authenticity, allowing creators to protect their work and ensure proper attribution through "Content Credentials." These credentials act like a digital label, offering metadata about the content’s creation and edits. The app also lets creators signal if they don't want their work used to train AI models.Theneo: AI-Powered API Docs: Automate, Collaborate, InnovateTheneo has launched an AI-powered platform that enables companies to quickly generate visually appealing and easy-to-maintain API documentation. With a single upload, users can create interactive, branded API docs that drive conversions and streamline collaboration. The platform supports all API types and provides features like automated changelogs, AI-powered search, and real-time editing.Selfletter: Break complex goals into small tasks with AISelfletter is an AI-powered tool that helps users break down complex goals into simple, manageable daily tasks. You provide your goal, start and end dates, and the AI generates a personalized calendar with tasks that can be exported to your preferred calendar app or as a PDF.CostGPT AI: Generate software cost & time estimatesCostGPT is an AI-powered tool that helps you quickly estimate the cost, time, and key features of a software project. By inputting just an idea, it generates a detailed project estimate, including user stories, sitemaps, dependencies, and milestones, all within minutes. It's designed to simplify project planning and budgeting for developers and businesses, offering both free and premium plans for different levels of detail. CostGPT is especially helpful for those who want a clear overview of their project's scope before starting development.🔛 Masterclass: AI/LLM TutorialsAndrej Karpathy reveals LLM outputs are unexpectedly similarThe thread discusses why many large language models (LLMs) sound similar in their responses, often using structured lists, exploring multiple angles, and offering help. This uniformity may be due to shared datasets used for training, with some suggesting that many models are fine-tuned on data generated by ChatGPT or similar systems. Some users propose that models are converging on a "correct" way to respond, leading to similar styles, while others point to issues like reliance on subcontractors and data overlap. There's also talk about how to make LLMs more diverse in their responses by using different training techniques or datasets.Prompting technique boosting Claude 3.5 Sonnetto match O1 models on complex reasoningThe article explores how to make open-source language models (LLMs) smarter, with a focus on improving their reasoning abilities to outperform state-of-the-art (SOTA) models like OpenAI’s O1. The author, Harish SG, experimented with a new prompting method that combines Dynamic Chain of Thought (CoT), reflection, and verbal reinforcement to help LLMs solve complex problems. This approach mimics human-like reasoning, breaking down steps, reflecting on progress, and adjusting strategies. Benchmark tests showed promising results, with models like Claude Sonnet 3.5 performing better on reasoning tasks than other SOTA models.Anthropicintroduces automatic Artifact error fixingin ClaudeThe "Try fixing with Claude" feature helps users quickly address errors that occur while generating Artifacts. When an error is detected, users can click a button to automatically send the error details to Claude, who will try to diagnose and suggest a fix. However, while Claude can assist in troubleshooting, its solutions are not always guaranteed to work, and users should review the suggestions to ensure they meet their needs. Some errors may still require further troubleshooting or human intervention.GPT-4achieves 88% diagnostic accuracy, outperforming doctors by 15% in clinical reasoning testThis study aimed to evaluate whether using GPT-4, a large language model (LLM), improves physicians' diagnostic reasoning compared to traditional resources. In a randomized trial, physicians were tasked with diagnosing clinical cases either using GPT-4 and conventional resources or just conventional resources. The results showed no significant improvement in overall diagnostic accuracy with GPT-4, but GPT-4 did help physicians work slightly faster. Notably, GPT-4 alone outperformed the physicians in some diagnostic tasks, suggesting that AI could enhance medical decision-making with further integration.NVIDIA droppedmultimodal language model that rivals GPT-4and Llama-3.1 405B.NVIDIA's NVLM-D-72B is a state-of-the-art multimodal large language model (LLM) that excels in both vision-language and text-only tasks. It uses a decoder-only architecture and has 79.4 billion parameters. This open-source model rivals leading proprietary models and has been fine-tuned for various benchmarks like vision-based tasks (e.g., OCRBench, TextVQA) and text-based benchmarks (e.g., MMLU, GSM8K).🚀 HackHub: AI ToolsJailbreak_llms: A dataset consists of 15,140 ChatGPT prompts from Reddit, Discord, websites, and open-source datasets (including 1,405 jailbreak prompts).JailbreakHub, contains over 15,000 prompts collected from Reddit, Discord, websites, and open-source datasets between December 2022 and 2023, including 1,405 jailbreak prompts. It analyzes how adversarial users bypass safeguards in large language models (LLMs) to make them produce harmful or restricted content.roboflow/supervision: We write your reusable computer vision toolsThe Supervision repository by Roboflow provides reusable computer vision tools for tasks like loading datasets, visualizing detections, and performing object counting. It supports a wide range of models (including YOLO and Ultralytics) and allows users to seamlessly integrate various computer vision models for detection, classification, and segmentation.Manim: A community-maintained Python framework for creating mathematical animationsManim is a Python framework designed to create mathematical animations programmatically. Manim supports animations through simple code, providing an easy way to transform shapes, visualize equations, or illustrate math concepts.VoiceRestore: Open-source model restores audio quality, fixing noise and distortions.Auto_Jobs_Applier_AIHawk:Tool that automates the jobs application process. Utilizing artificial intelligence, it enables users to apply for multiple job offers in an automated and personalized way.📢 If your company is interested in reaching an audience of developers and, technical professionals, and decision makers, you may want toadvertise with us.If you have any comments or feedback, just reply back to this email.Thanks for reading and have a great day!*{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}}

98% cost reduction for GPT 4o miniAI_Distilled #70: OpenAI raises $6.6 billion funding, valuation at $157 billionThis 3 hour power packed workshop that will teach you 25+ AI Tools, make you a master of prompting & talk about hacks, strategies & secrets that only the top 1% know of.By the way, here’s sneak peek into what’s inside the workshop:-Making money using AI-The latest AI developments, like GPT o1-Creating an AI clone of yourself, that functions exactly like YOU-10 BRAND new AI tools to automate your work & cut work time by 50%Best thing? It's usually $399, but it's absolutely free for the first 100 readers.Save your seat now (Offer valid for 24 hours only)Welcome to AI_Distilled. Before we get to the newsletter, I have one quick message: Next week, we are hosting an AMA with Supreet Kaur: Navigating LLMs & AI Innovation. You should check it out.Today, we’ll talk about:Techwave:[Sponsored] Free 3 hour AI and ChatGPT workshop for professionalsOpenAI raises $6.6 billion funding, valuation at $157 billionOpenAI makes4 major announcements at DevDay, 98% cost reduction for GPT-4 to 4o miniMicrosoftlaunches redesigned Copilotwith Voice, Vision, and Chain of Thought capabilities.Metaunveils open-source Llama StackNotebookLM now summarizes YouTube videos. Andrej Karpathy'sNotebookLM tweet goes viralAwesome AI:Pika 1.5Graphite Code ReviewerHelicone:LLM-Observability for DevelopersMagic Patterns: Prototype your product ideas with AIRows: The new way to spreadsheetMasterclass:Anthropic reduces the error rate ofRAGs by 67% using this simple methodLangchain shows offnew tool: controllable Agentopen-source NotebookLM alternativeusing Llama 3.1 405BAndrew Ngannounces course on Meta's Llama 3.2, launching October 9Using task-specific models from AI21 Labs on AWSHackHub:o1-engineer: AI-powered code generation and editingCrawl4AI: LLM Friendly Web Crawler & ScraperLlama Stack:Model components of the Llama Stack APIsexo: Run your own AI cluster at home with everyday devicesTTS: a deep learning toolkit for Text-to-SpeechCheers!Shreyans SinghEditor-in-Chief, PacktLast Chance! For the next 48 hours only, save $150 on your full event pass!Use code LASTCHANCE40 at checkoutImagine being part of 10+ Power Talks, 12+ Hands-On Workshops, and 3 Interactive Roundtables—while networking with 30+ top industry leaders and hundreds of tech professionals from across the globe. This is your opportunity to dive into cutting-edge AI solutions at the Generative AI in Action 2024 Conference.It’s all happening November 11-13 (Virtual)—don’t miss your chance!BOOK YOUR SEAT NOW (before prices go up!)BOOK NOW AT $399.99 $239.99⚡ TechWave: AI/GPT News & AnalysisOpenAI raises $6.6 billion funding, valuation at $157 billionOpenAI has raised $6.6 billion in funding from investors like Microsoft, Nvidia, Thrive Capital, and Khosla Ventures, valuing the company at $157 billion. This significant investment comes as OpenAI restructures and undergoes leadership changes, including the departure of its CTO. Despite losses, OpenAI is projected to make $3.6 billion in revenue this year, with expectations for a major revenue increase next year. Investors are betting on the company's future growth, especially as it continues to pursue advanced AI goals like artificial general intelligence (AGI).OpenAI makes4 major announcements at DevDay, 98% cost reduction for GPT-4 to 4o miniAt OpenAI's 2024 DevDay, several key developer-focused features and tools were announced. One major update was prompt caching, offering a 50% discount on repeated prompts over 1,024 tokens, which lowers costs for developers automatically. Another significant launch was the WebSocket Realtime API, enabling real-time audio input/output for GPT-4 models, allowing developers to stream audio, text, and tool functions with low latency. OpenAI also simplified model distillation, making fine-tuning easier by allowing smaller models to learn from larger ones. Additionally, OpenAI extended free fine-tuning offers for GPT-4 models, and hinted at future support for image input through the Realtime API.Microsoftlaunches redesigned Copilotwith Voice, Vision, and Chain of Thought capabilities.Microsoft's October 2024 announcement highlights the evolution of Copilot. The updated Copilot integrates voice and vision capabilities, making interactions feel more natural and personalized. It offers practical help like summarizing news, taking notes at appointments, and assisting with life’s complexities. The tool aims to reduce information overload and provide a supportive, adaptive experience.Metaunveils open-source Llama StackMeta has introduced Llama Stack distributions to simplify the development of generative AI applications using its Llama large language models (LLMs). These distributions bundle multiple Llama Stack API providers into a single endpoint, allowing developers to work seamlessly with Llama models across different environments, including on-premises, cloud, and mobile devices. The Llama Stack provides essential building blocks for the entire AI development process, from model training to running AI agents.NotebookLM now summarizes YouTube videos. Andrej Karpathy'sNotebookLM tweet goes viralUsers can now upload videos or audio recordings, allowing NotebookLM to summarize key concepts and generate insights from these sources. It can transcribe and analyze audio or video content, creating helpful study guides or summaries. Additionally, users can now share Audio Overviews with a public link, making it easier to distribute content summaries.💻 Awesome AI: Tools for WorkPika 1.5Create stunning, cinematic video clips with advanced visual effects and longer scenes. It introduces new features like "Unreal Pikaffects," enabling users to manipulate objects in ways that go beyond real-life capture, such as exploding or inflating them. It also offers cinematic camera moves like Bullet Time and Crane Down, along with lifelike character actions like running or skateboarding.Graphite Code ReviewerGraphite Reviewer is an AI-powered tool that provides immediate, actionable feedback on pull requests, helping teams catch bugs, logical errors, and enforce best practices before human review. It integrates seamlessly with your codebase, offering code-aware suggestions without storing or using your team's data for training.Helicone / LLM-Observability for DevelopersHelicone is an open-source platform designed for developers to log, monitor, and debug large language models (LLMs). It provides tools for instant analytics, prompt management, and cost tracking, allowing users to filter, segment, and analyze their requests efficiently.Magic Patterns: Prototype your product ideas with AIMagic Patterns is an AI-powered design tool that allows users to quickly prototype product ideas by generating user interfaces (UIs) from prompts or images. It features an AI-native editor for iterating on components and designs, which can be exported to React or Figma.Rows — The new way to spreadsheetRows features an AI-powered assistant that helps users with tasks like data entry, classification, and translation, making it easier to work with complex information.🔛 Masterclass: AI/LLM TutorialsAnthropic reduces the error rate ofRAGs by 67% using this simple methodContextual Retrieval is an enhancement of traditional Retrieval-Augmented Generation (RAG) used in AI models to improve the accuracy of retrieving relevant information from large knowledge bases. Standard RAG uses embeddings to break down a knowledge base into chunks and retrieves relevant information based on semantic similarity. However, this method can lose important context, leading to retrieval errors. Contextual Retrieval addresses this by adding chunk-specific context before generating embeddings and BM25 (a ranking method based on exact matches), reducing retrieval errors by up to 67% when combined with reranking.Langchain shows offnew tool: controllable AgentThe Controllable-RAG-Agent is a sophisticated AI tool designed to answer complex questions using Retrieval-Augmented Generation (RAG) techniques. It employs a structured graph for reasoning and breaks down queries into smaller, manageable tasks. The agent ensures that answers are based solely on the provided data, preventing hallucinations, or incorrect content. It features multi-step reasoning, adapts its plan as new information is processed, and evaluates performance using metrics like answer correctness and relevance.open-source NotebookLM alternativeusing Llama 3.1 405BConvert your PDFs into podcasts with open-source AI models (Llama 3.1 405B, MeloTTS, Bark).Note: Only the text content of the PDFs will be processed. Images and tables are not included. The total content should be no more than 100,000 characters due to the context length of Llama 3.1 405B.Andrew Ngannounces course on Meta's Llama 3.2, launching October 9The course "Introducing Llama 3.2," offered by Amit Sangani, Senior Director of AI Partner Engineering at Meta, focuses on building multimodal applications using the Llama 3.2 family of models, which range from 1B to 405B parameters. It covers essential concepts from tokenization to tool-calling, as well as Llama's new stack, which simplifies application development.Using task-specific models from AI21 Labs on AWSIn this blog post, you'll learn how to use AI21 Labs' Task-Specific Models (TSMs) on AWS to streamline tasks like summarization, paraphrasing, and answering questions based on specific contexts. By subscribing to AI21 Labs in AWS Marketplace, setting up a SageMaker domain, and accessing these models through SageMaker JumpStart, you can easily deploy and customize them for your business. Unlike general foundation models, these TSMs are pre-trained for specific commercial tasks, offering greater accuracy and cost-efficiency with less need for complex prompt engineering.🚀 HackHub: AI Toolso1-engineer: AI-powered code generation and editingThe `o1-engineer` tool is a command-line utility that helps developers manage and interact with their projects more efficiently. It leverages OpenAI's API to automate tasks like code generation, file and folder management, project planning, and code review. By using commands like `/add`, `/edit`, and `/planning`, users can modify project structures, plan tasks, and streamline workflows directly from the terminal.Crawl4AI: LLM Friendly Web Crawler & ScraperCrawl4AI is an open-source, asynchronous web crawler designed to efficiently extract data for large language models (LLMs) and AI applications. It supports features like crawling multiple URLs simultaneously, extracting media and links, executing custom JavaScript, and managing sessions for dynamic web content. The tool allows for structured data extraction using CSS selectors or JSON strategies and offers advanced techniques for clustering and chunking content.Llama Stack:Model components of the Llama Stack APIsThe Llama Stack provides a set of APIs that cover the entire AI development lifecycle, including model training, inference, safety, memory management, and evaluation. Developers can mix and match local or cloud-based providers to implement these APIs, making it flexible for different use cases.exo: Run your own AI cluster at home with everyday devicesExo allows you to run AI models across multiple devices, like phones, laptops, or Raspberry Pis, forming a distributed AI cluster. It automatically discovers devices and splits model computations across them based on their resources. Unlike traditional systems with a master-worker architecture, Exo uses peer-to-peer connections, allowing all devices to contribute equally.TTS: a deep learning toolkit for Text-to-SpeechCoqui TTS is a deep learning toolkit for advanced text-to-speech (TTS) generation, designed for research and production use. It supports over 1,100 languages with pre-trained models and offers tools for training new models and fine-tuning existing ones. Coqui TTS includes various TTS models like Tacotron and Glow-TTS, speaker encoders for multi-speaker synthesis, and vocoders like MelGAN for high-quality audio output.📢 If your company is interested in reaching an audience of developers and, technical professionals, and decision makers, you may want toadvertise with us.If you have any comments or feedback, just reply back to this email.Thanks for reading and have a great day!*{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}}

OpenAI to become for-profit companyAI_Distilled #69: OpenAI CTO resignsGrow, Make a Difference, and Win!Participate in the Latest Developer Nation Survey!TAKE THE SURVEYWelcome to AI_Distilled. Today, we’ll talk about:Techwave:OpenAI CTO resignsOpenAI to become for-profit companyOpenAI rolls out Advanced Voice ModeSuperintelligence may be here sooner than expected- Sam AltmanEA Unveils Text-to-Game AIAwesome AI:Requstory: convert project ideas into actionable user stories and process maps.Adobe GenStudio: create, manage, and optimize on-brand contentLetta: enhances LLMs by adding memory capabilitiesScenery: AI-powered video editing for teamsKLING AI: Next-Generation AI Creative StudioMasterclass:Vector Embeddings with Cohere and Hugging FaceBuild a multimodal social media content generator using Amazon BedrockWorking with Embeddings: Closed versus Open SourceLinguistic Bias in ChatGPTUpdated production-ready Gemini models, reduced 1.5 Pro pricing, increased rate limits, and moreHackHub:OpenHands: Code Less, Make Moreaudiocraft: library for audio processing and generation with deep learningMidJourney-Styles-and-Keywords-Referencejepa: PyTorch code and models for V-JEPA self-supervised learning from videochat-with-mlx: An all-in-one LLMs Chat UI for Apple Silicon Mac using MLX Framework💡Recommended Reading: LLM Engineer's HandbookCheers!Shreyans SinghEditor-in-Chief, Packt3 Days. 25+ AI Experts. 30+ Sessions.On November 11, join Vin Vashishta, Denis Rothman, John Thompson, Andreas Welsch, and over 20 AI leaders revolutionizing GenAI across industries. From GenAI tools and AI Agents to Small Language Models and LLM fine-tuning, you’ll dive deep into cutting-edge AI strategies and technologies at Packt's Generative AI In Action conference.Don't delay—secure your spot at the early bird rate before prices increase permanently next week!BOOK NOW⚡ TechWave: AI/GPT News & AnalysisOpenAI CTO resignsMira Murati, the Chief Technology Officer of OpenAI, announced her resignation to pursue personal exploration after being with the company for over six years. Murati played a key role in OpenAI's rise, including leading the organization temporarily during a leadership crisis involving CEO Sam Altman. Her departure follows a series of leadership changes at OpenAI, including the exits of other top executives.OpenAI to become for-profit companyOpenAI is planning to restructure into a for-profit benefit corporation, removing control from its non-profit board to make the company more attractive to investors. The non-profit will still exist and hold a minority stake in the for-profit entity. CEO Sam Altman, who has never had equity in OpenAI, will receive equity in the new structure, which could value the company at $150 billion. The move aims to lift investment return caps and make OpenAI more like a typical startup, though it raises concerns about whether the company will maintain its focus on AI safety.OpenAI rolls out Advanced Voice ModeOpenAI has introduced Advanced Voice Mode (AVM) to more ChatGPT users, specifically those in the Plus and Teams tiers, with Enterprise and Edu customers gaining access soon. The new feature enhances ChatGPT's voice interactions, making it more natural to speak with, and includes a redesigned look represented by a blue animated sphere. Users can now choose from five new nature-inspired voices, adding to the existing options.Superintelligence may be here sooner than expected- Sam AltmanOpenAI CEO Sam Altman predicts that superintelligent AI could emerge within the next decade, potentially in "a few thousand days." In a blog post titled "The Intelligence Age," Altman outlines a future where AI accelerates human progress and prosperity, with AI assistants transforming various industries like healthcare and education. He credits deep learning as a key driver of this progress but acknowledges challenges, including labor market disruptions. Altman remains optimistic about AI’s potential to improve lives, urging careful navigation of its risks while aiming for widespread benefits from AI technology.EA Unveils Text-to-Game AIElectronic Arts (EA) unveiled its "Imagination to Creation" vision, allowing players to create video game worlds using simple natural language prompts without coding skills. During a demo, players transformed basic objects into complex, multi-level game environments in real time, using EA's vast library of 3D assets and data. This AI-driven system empowers users to easily generate unique characters, obstacles, and gameplay mechanics.💻 Awesome AI: Tools for WorkRequstory: convert project ideas into actionable user stories and process maps.By simply describing project requirements in natural language, users can generate detailed user stories and visual process maps automatically. The platform allows for easy collaboration, editing, and sharing of these AI-generated documents, streamlining project planning and execution.Adobe GenStudio: create, manage, and optimize on-brand contentAdobe GenStudio is a generative AI-powered tool designed to help marketing teams create, manage, and optimize on-brand content across multiple channels quickly. It provides marketers with AI-driven tools to generate assets, create content variations, and measure performance in real-time, ensuring all content aligns with brand guidelines.Letta: enhances LLMs by adding memory capabilitiesBuilt from research behind MemGPT, Letta helps developers create intelligent agents that can remember and reason over time. It offers tools for building, deploying, and managing AI agents at scale, focusing on memory management and providing a transparent, customizable environment.Scenery video editor | AI-powered video editing for teamsScenery allows users to quickly create and fine-tune videos through a cloud-based system. It simplifies the video editing process with AI-driven tools, such as automatic subject detection, filler word removal, and subtitle generation in over 20 languages. Scenery also enables users to create viral social media clips from longer videos with just a click.KLING AI: Next-Generation AI Creative Studio🔛 Masterclass: AI/LLM TutorialsVector Embeddings with Cohere and Hugging FaceVector embeddings are numerical representations of complex data, like text or images, which help AI models understand and process this data more easily. These embeddings convert input data into dense vectors, where similar data points are close together in a high-dimensional space. This allows AI systems to measure similarities between data points, perform searches, or generate content. Platforms like Cohere and Hugging Face offer pre-trained models that generate embeddings for tasks such as classification, search, and content generation.Build a multimodal social media content generator using Amazon BedrockA multimodal social media content generator using Amazon Bedrock allows brands and content creators to quickly produce visually and textually rich social media posts. The process involves uploading a product image, providing a natural language prompt, and using Amazon Titan Image Generator to create enhanced images. The text for the post is generated using Claude 3, ensuring brand consistency. The system retrieves similar historical posts using Amazon Titan Multimodal Embeddings stored in OpenSearch Serverless, offering suggestions to refine the contentWorking with Embeddings: Closed versus Open SourceEmbeddings are essential in natural language processing (NLP) for tasks like semantic search in retrieval systems. This article explores how different embedding models, both open-source and closed-source, perform in semantic search applications. It discusses techniques like clustering and re-ranking to enhance search results, while comparing the performance, size, and cost of up to nine top models. This comparison helps understand how model size affects efficiency in search tasks, especially when balancing cost and accuracy in large-scale retrieval systems.Linguistic Bias in ChatGPTChatGPT exhibits bias against non-"standard" varieties of English, such as African-American, Indian, and Nigerian English, reinforcing linguistic discrimination. A study comparing responses to different English varieties found that ChatGPT performs worse in understanding, warmth, and naturalness for non-standard varieties, often producing condescending or stereotypical content. While the model imitates some non-standard varieties, it defaults to Standard American English, frustrating non-American users. Even improvements in newer versions like GPT-4 do not fully resolve these issues and, in some cases, worsen stereotyping, highlighting the need for addressing bias in AI.Updated production-ready Gemini models, reduced 1.5 Pro pricing, increased rate limits, and moreGoogle has released updated Gemini models, Gemini-1.5-Pro-002 and Gemini-1.5-Flash-002, with improved performance, lower costs, and faster outputs. These models offer enhanced capabilities for tasks like processing large PDFs, complex math problems, and video analysis. The updates include price reductions of over 50%, higher rate limits, faster output speeds, and reduced latency. The models are designed for general performance across text, code, and multimodal tasks and are available via Google AI Studio and Vertex AI for larger organizations. These updates aim to make the models more efficient and accessible for developers.🚀 HackHub: AI ToolsOpenHands: Code Less, Make MoreOpenHands (formerly OpenDevin) is an AI-powered platform designed for software development, enabling agents to perform tasks that human developers usually handle, like modifying code, running commands, browsing the web, and even using code snippets from StackOverflow.audiocraft: library for audio processing and generation with deep learningAudioCraft is a PyTorch-based library developed by Facebook for deep learning research in audio generation. It includes models like MusicGen for controllable text-to-music generation, AudioGen for text-to-sound generation, and EnCodec for high-fidelity audio compression.MidJourney-Styles-and-Keywords-ReferenceA reference containing Styles and Keywords that you can use with MidJourney AI. There are also pages showing resolution comparison, image weights, and much more.jepa: PyTorch code and models for V-JEPA self-supervised learning from videoInstead of relying on labeled data, it predicts features from video frames, learning in a completely unsupervised manner. It processes video content to capture spatio-temporal patterns and trains a lightweight model to handle various downstream video and image tasks without adapting the core model.chat-with-mlx: An all-in-one LLMs Chat UI for Apple Silicon Mac using MLX Framework"Chat with MLX" is an all-in-one chat playground designed for Apple Silicon Macs, utilizing the Apple MLX framework. It allows users to securely chat with various AI models and integrate open-source models from platforms like HuggingFace.📢 If your company is interested in reaching an audience of developers and, technical professionals, and decision makers, you may want toadvertise with us.If you have any comments or feedback, just reply back to this email.Thanks for reading and have a great day!*{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}}

Master the art of engineering Large Language Models from concept to productionAI_Distilled: Special IssueLLM Engineer's Handbook: Master the art of engineering LLMs from concept to productionCHECK IT OUTWelcome to a special edition of AI Distilled!In an era where AI is reshaping industries and redefining possibilities, staying ahead of the curve isn't just an advantage—it's a necessity.Whether you're a seasoned data scientist, a cybersecurity expert, or a curious developer looking to harness the power of Large Language Models (LLMs), this curated collection is designed to empower you with the latest insights and practical knowledge.📚 Inside This Special Issue:Master the art of prompt engineering and unlock AI's creative potentialDive deep into NLP, from foundational concepts to cutting-edge LLMsLeverage ChatGPT for enhanced cybersecurity measuresBuild powerful, data-driven applications using LlamaIndex and RAG techniquesGain insights from Supreet Kaur's expertise on choosing and implementing open-source LLMs🎙️ Don't Miss Out: Join Supreet Kaur's Free AMA Session!Whether you're looking to enhance your AI skills, stay ahead in your field, or explore new horizons in technology, this collection has something for everyone. Let's embark on this AI journey together and shape the future of technology!Happy learning,Shreyans SinghEditor in ChiefExpert Insight: Supreet Kaur"Navigating the LLM Landscape: Key Insights from Supreet Kaur's '100 Days of LLMs'"Supreet Kaur, a LinkedIn Top Voice 2024 and Data & AI Solutions Architect, has been sharing valuable insights on Large Language Models (LLMs) in her "100 Days of LLMs" series. Here are the key takeaways for AI professionals:Selecting the Appropriate ModelWhen deciding between small and large language models, Kaur emphasizes considering:📌Computational resources📌Use case complexity📌Real-time processing needsFor targeted applications with cost constraints, she highlights Microsoft's Phi-3 as a notable small model option.Leveraging Retrieval Augmented Generation (RAG)Kaur introduces RAG as a game-changing technique that combines generative AI with real-time information retrieval. This approach is particularly valuable in industries like fintech, where up-to-date information is crucial for decision-making.Rethinking Evaluation MetricsDrawing from her experience in text labeling automation, Kaur advocates for looking beyond conventional metrics. She suggests incorporating feedback from subject matter experts who will be using the model in practice, providing a more holistic evaluation.The Potential of AI AgentsKaur describes AI agents as autonomous software entities that can perform tasks on behalf of users or other programs. These "virtual interns" represent a promising frontier for enhancing productivity and tackling complex challenges across various domains.Effective LLM Evaluation StrategiesKaur outlines three key approaches for evaluating LLMs:📌Performance Metrics: Focusing on relevance, coherence, and groundedness📌Benchmark Testing: Comparing model versions under consistent conditions📌User Feedback: Gathering insights on real-world performanceShe also notes that platforms like Microsoft Azure offer tools to streamline this evaluation process.In conclusion, Kaur's advice helps people use AI language models better in real-world situations. She focuses on practical tips and new ideas that can help businesses make the most of this exciting technology.Join Supreet Kaur, LinkedIn Top Voice 2024 and AI Solutions Architect, for an insightful AMA session focused on leveraging open-source Large Language Models (LLMs) in real-world AI projects.FREE RegistrationUnlocking the Secrets of Prompt EngineeringLearn how to use AI writing tools for various tasks, from creating content to developing chatbots.The book covers:1. Basics of prompt engineering2. How to write effective prompts for AI3. Using AI for different types of writing4. Advanced uses like podcast creation and chatbot developmentGet eBook For $35.99 $24.99Mastering NLP from Foundations to LLMsLearn how to work with NLP using Python, focusing on both traditional techniques and modern LLMs like GPT.It covers the mathematical basics such as linear algebra and probability, and then moves on to more advanced topics like text classification, preprocessing, and deep learning models.You will find detailed Python code examples to help you build and implement ML models.Get eBook For $42.99 $29.99ChatGPT for Cybersecurity CookbookThis is a practical guide for leveraging AI, particularly ChatGPT, in cybersecurity.It provides step-by-step recipes to automate tasks like penetration testing, vulnerability assessments, and threat detection using the OpenAI API and Python programming.The book is designed for both beginners and professionals, offering tools to streamline cybersecurity workflows and improve efficiency through AI.Get eBook For $39.99 $27.98Building Data-Driven Applications with LlamaIndexLearn how to enhance their LLM applications using RAG.It teaches you how to overcome common limitations in LLMs, like memory constraints, prompt size, and inaccurate responses.You'll learn to build, customize, and deploy LlamaIndex projects, which allow better data ingestion, indexing, and querying.Get eBook For $35.99 $24.99More Titles for You$21.99 $31.99$24.99 $35.99$15.99 $23.99📢 If your company is interested in reaching an audience of developers and, technical professionals, and decision makers, you may want toadvertise with us.If you have any comments or feedback, just reply back to this email.Thanks for reading and have a great day!*{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}}

GenAI for YouTubers- Google DeepMindAI_Distilled #68: Slack introduces AI AgentsUse AI to 10X your productivity & efficiency at work with AI (free bonus) Still struggling to achieve work-life balance and manage your time efficiently?Join this 3 hour Intensive Workshop on AI & ChatGPT tools (usually $399) but FREE for first 100 people.Save your free spot here (seats are filling fast!) ⏰Welcome to AI_Distilled. Today, we’ll talk about:Techwave:[Sponsored] Learn AI strategies & hacks that less than 1% people knowSlack introduces AI AgentsMicrosoft 365 Copilot Wave 2: Pages, Python in Excel, and agentsTencent Unveils GameGen-O: AI Model for game developmentOpenAI o1 is oficially smarter than 95%+ of humansIntroducing the Runway API for Gen-3 Alpha TurboAnnouncing Pixtral 12B by Mistral AIAwesome AI:Adobe Firefly Video Model previewReddit ScoutIlluminate by GoogleThunderbit | Personalized Web AI CopilotVerse: Make free digital pagesMasterclass:GenAI for YouTubers- Google DeepMindThe Basics Behind AI Models for Self-Driving CarsWhat is the Chinchilla Scaling Law?Improve RAG performance using Cohere RerankMIT researchers have developed "Co-LLM"HackHub:Upscayl: free and open source AI image upscalerRoop: one-click face swapAnthropic-quickstarts: build deployable applications using the Anthropic APIMulti-GPT: An experimental open-source attempt to make GPT-4 fully autonomousFacebook Audioseal: Localized watermarking for AI-generated speech audios💡Recommended Reading: Unlocking the Secrets of Prompt EngineeringCheers!Shreyans SinghEditor-in-Chief, PacktJoin 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 spot⚡ TechWave: AI/GPT News & AnalysisSlack introduces AI AgentsSalesforce has announced new innovations in Slack that turn AI agents into active teammates, enhancing productivity. New features include a unified work system that integrates Salesforce CRM data with Slack channels, AI-powered huddle notes, automation tools, and tailored templates for various tasks.Microsoft 365 Copilot Wave 2: Pages, Python in Excel, and agentsThis update includes "Copilot Pages," a new collaborative workspace for AI and human interaction, allowing real-time editing and collaboration. Microsoft is also expanding Copilot's capabilities in Excel, now integrating Python for advanced data analysis, and in PowerPoint for more dynamic presentations. Additionally, Copilot in Teams and Outlook improves meeting and email management, while "Copilot Agents" automate business processes.Tencent Unveils GameGen-O: AI Model for game developmentTencent has unveiled GameGen-O, an AI model designed to revolutionize game development by quickly generating vast and detailed open-world environments. This technology can use videos and images from the internet to create complex landscapes, reducing the need for manual data collection trips. GameGen-O aims to streamline the development process, allowing developers to focus on creativity while the AI handles the heavy lifting.OpenAI o1 is oficially smarter than 95%+ of humansOpenAI’s latest AI model, "o1," has demonstrated an IQ level higher than 95% of humans, according to recent testing by TrackingAI, a project that monitors AI intelligence across verbal and vision-based assessments. The project conducts regular evaluations of various AI systems using a range of tests, including Mensa-level IQ assessments. The performance of "o1" showcases the rapid advancements in AI capabilities.Introducing the Runway API for Gen-3 Alpha TurboRunway has launched a new API for its Gen-3 Alpha Turbo model, allowing developers to integrate advanced AI capabilities into various applications and products.Announcing Pixtral 12B by Mistral AIPixtral 12B is a new multimodal AI model that excels in both image and text understanding. It features a 400M parameter vision encoder and a 12B parameter multimodal decoder. Pixtral can handle different image sizes and aspect ratios, and process multiple images within a large context window of 128K tokens.💡Recommended Reading: Unlocking the Secrets of Prompt EngineeringLearn how to integrate AI agents with databases using tools like LangChain and OpenAI.It covers topics such as setting up AI agents, working with CSV and SQL databases, using OpenAI's function calling capabilities, and leveraging the Assistants API.The course is designed for people with intermediate knowledge of Python and SQL, and it uses tools like Streamlit and LangChain.Get it for $35.99 $24.99💻 Awesome AI: Tools for WorkAdobe Firefly Video Model previewAdobe has introduced its new Firefly Video Model, a generative AI tool designed to enhance video editing within Adobe's software like Premiere Pro. It enables users to generate videos using text prompts, create atmospheric elements like fire or water, fill timeline gaps, and even bring still images to life.Reddit ScoutReddit Scout is a tool that quickly summarizes Reddit comments to help users find the best products to buy, saving time sifting through lengthy threads. It provides a detailed summary of discussions on various topics, such as smart home security systems, and is available as a Chrome extension.Illuminate by GoogleThis platform offers AI-generated audio discussions on various topics, transforming written content into engaging audio summaries. Each entry provides a concise audio summary of key papers and articles, making complex information easily accessible.Thunderbit | Personalized Web AI CopilotThunderbit is an AI-powered tool designed to help business users automate various web tasks. It offers features like AI Web Clipper for extracting essential details from websites, voice note-taking to convert voice into structured notes, and AI-assisted data sync between business tables.Verse: Make free digital pagesVerse is an app that turns your music taste into a visual representation of your personal space, like a digital bedroom inspired by the songs you listen to. It lets you explore and download creative content, from music and art to guides and reviews.🔛 Masterclass: AI/LLM TutorialsEmpowering YouTube creators with generative AI - Google DeepMindGoogle DeepMind is introducing generative AI tools, Veo and Imagen 3, to YouTube creators through a feature called Dream Screen. This will allow users to generate creative video backgrounds for YouTube Shorts by starting with a text prompt and choosing from four AI-generated images. Veo will then turn the selected image into a high-quality 6-second video clip.The Basics Behind AI Models for Self-Driving CarsThis article explains how AI models for self-driving cars work by simulating driving behaviors using sensor data and a neural network. It outlines the basic mechanics: cars are equipped with sensors that detect proximity to objects in all directions, and the model uses this data to predict acceleration, braking, and steering. The neural network is trained on synthetic data that mimics human driving decisions, such as how much to turn or accelerate based on obstacles. A five-layer neural network built with PyTorch is used to train the model, which is evaluated based on its accuracy and crash rates.What is the Chinchilla Scaling Law?The Chinchilla Scaling Law, introduced in 2022, proposes that smaller language models can outperform larger ones if trained on significantly more data. Traditional models like GPT-3 increased in size without proportionally scaling the training data, leading to inefficiencies. The Chinchilla Scaling Law suggests an optimal balance between model size and data, showing that doubling the amount of data for every doubling of model size can maximize performance with the same compute resources.Improve RAG performance using Cohere RerankCohere Rerank helps improve RAG's performance by reordering retrieved documents based on a relevance score using deep learning. This second-stage process refines the results by aligning them more closely with user queries, boosting search accuracy and efficiency. Cohere Rerank can be integrated easily with tools like Amazon SageMaker.MIT researchers have developed "Co-LLM"MIT researchers have developed "Co-LLM," an algorithm that enables large language models (LLMs) to collaborate for more accurate and efficient solutions. It pairs a general-purpose model with a specialized expert model, with a "switch variable" that identifies when the general model needs help. This process allows the general model to handle most of the response, while the expert model steps in only when needed, improving accuracy and efficiency. The approach mimics how humans consult experts for specific tasks.🚀 HackHub: AI Toolsupscayl/upscaylUpscayl is a free, open-source AI-powered image upscaler that lets you enhance and enlarge low-resolution images without losing quality. The tool uses advanced AI algorithms like Real-ESRGAN. You'll need a Vulkan-compatible GPU for best results.s0md3v/roopRoop is an AI-based face-swapping tool that allows you to replace the face in a video with a face of your choice using just a single image—no training or large datasets required. Once set up, you can swap faces in videos by specifying source and target files through command-line options.anthropics/anthropic-quickstartsAnthropic Quickstarts is a set of projects that help developers easily build and deploy applications using the Anthropic API. These quickstarts offer a solid foundation for various applications, starting with a customer support agent powered by Claude, Anthropic's AI.sidhq/Multi-GPTMulti-GPT is an experimental system where multiple specialized GPT models, known as "ExpertGPTs," work together to accomplish tasks. Each expert has its own memory (both short and long-term) and can communicate with other experts to solve complex problems. The system integrates advanced capabilities like internet searches, file storage, and long-term data recall. Users can interact with it by setting tasks, and the experts will collaborate autonomously to complete them, leveraging GPT-4 for text generation and optional tools like Pinecone for memory storage.facebookresearch/audiosealAudioSeal is a speech watermarking method that embeds invisible watermarks into audio, making it possible to detect watermarked segments even after editing. It uses a generator to create watermarks and a detector to find them in real-time with high accuracy, operating up to 100 times faster than existing models.📢 If your company is interested in reaching an audience of developers and, technical professionals, and decision makers, you may want toadvertise with us.If you have any comments or feedback, just reply back to this email.Thanks for reading and have a great day!*{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}}

Replit Agent early accessAI_Distilled #67: Apple Intelligence comes to iPhone, iPad, and Mac starting next monthGrow your business & career by 10x using AI Strategies in 4 hrs! 🤯Imagine a future where your business runs like a well-oiled machine, effortlessly growing and thriving while you focus on what truly matters.This isn't a dream—it's the power of AI, and it's within your reach.Join our AI Business Growth & Strategy Crash Course and discover how to revolutionize 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.Sign up here to save your seat! 👈Welcome to AI_Distilled. Today, we’ll talk about:Techwave:[Sponsored] Grow your career by 10x using AI Strategies in 4 hrs!Apple Intelligence comes to iPhone, iPad, and Mac starting next monthReplit Agent early accessAI system developed by Google DeepMind that designs novel proteinsIntroducing LLaVA V1.5 7B on GroqCloudFunction Calling in Google AI StudioAwesome AI:Polymet - Idea to prototype within secondsClipAnything - Choppityfal.aiEarkick - Your Personal AI ChatbotOuterbase | The interface for your databaseMasterclass:Voice Trigger System for SiriAlign Meta Llama 3 to human preferences with DPOAn Intuitive Intro to RLEnhancing LLMs with Structured Outputs and Function CallingSafely repairing broken builds with MLHackHub:Agents for software development Open-source LLM app development platformbuild, manage & run useful autonomous agentsUnderstand Human Behavior to Align True NeedsGenerative models for conditional audio generationCheers!Shreyans SinghEditor-in-Chief, Packt💡Recommended Reading: Essential Concepts of Vector DatabasesUnderstand why vector databases are important in modern data management and how to use them effectively.The course is about 4 hours long and is aimed at people interested in advanced data management techniques.The course includes hands-on sessions for setting up and using these databases, as well as integrating them with Large Language Models and frameworks like LangChain.Get it for $84.99⚡ TechWave: AI/GPT News & AnalysisApple Intelligence comes to iPhone, iPad, and Mac starting next monthApple announced the launch of "Apple Intelligence," a personal intelligence system integrated with iOS 18, iPadOS 18, and macOS Sequoia, starting in October 2024. This system uses advanced generative models and personal context to enhance everyday tasks, like writing assistance, smarter notifications, and a more flexible Siri. Features like a photo Clean Up tool, transcription in Notes and Phone apps, and AI-powered email prioritization will debut first in the U.S., with expanded language and feature support in the following months.Replit Agent early accessReplit Agent is an AI tool that helps users create software projects by understanding natural language prompts. Currently in early access for Replit Core and Teams subscribers, it assists in building web-based applications by guiding users through each step, from selecting technologies to deploying the final product. The agent is designed for prototyping and works closely with users to refine and develop their applications.AI system developed by Google DeepMind that designs novel proteinsAlphaProteo is an AI system developed by Google DeepMind that designs novel proteins to bind to specific target molecules. This technology can accelerate biological research by creating protein binders that aid in drug development, disease understanding, and more. AlphaProteo builds on the success of AlphaFold but goes further by generating new proteins, not just predicting their structures. It has shown high success rates in binding to key targets, such as proteins involved in cancer and viral infections like SARS-CoV-2.Introducing LLaVA V1.5 7B on GroqCloudLLaVA v1.5 7B is a new multimodal AI model available on GroqCloud, enabling developers and businesses to create applications that integrate image, audio, and text inputs. Built from a combination of OpenAI’s CLIP and Meta’s Llama 2, LLaVA v1.5 excels in tasks like visual question answering, image captioning, and multimodal dialogue.Function Calling in Google AI StudioGoogle AI Studio now supports function calling, allowing users to easily test the model's capabilities directly in the interface. This new feature makes it more convenient to experiment with the AI without leaving the UI. Google AI Studio offers free fine-tuning.💻 Awesome AI: Tools for WorkPolymet - Idea to prototype within secondsPolymet is an AI-powered tool that helps users quickly turn ideas into prototypes by generating designs and production-ready code in seconds. Users can describe what they need, iterate on the design with their team, and then export the code and designs, which can easily integrate with tools like Figma and existing codebases.ClipAnything - ChoppityChoppity is an AI-powered video editing tool that allows users to quickly find and clip moments from any video using visual, audio, and sentiment analysis. With its "ClipAnything" feature, users can search for specific parts of a video, such as key events, people, or emotions, without having to manually review hours of footage.fal.aiFal.ai is a generative media platform designed for developers to create and deploy AI-powered applications, particularly focused on text-to-image models. It offers fast, cost-effective inference with models like FLUX.1 and Stable Diffusion, optimized for various creative tasks.Earkick - Your Personal AI ChatbotEarkick is an AI-powered mental health app that helps users track and improve their emotional well-being in real time through a personal chatbot named Panda. Earkick tracks mental readiness, mood, and calmness, while providing daily insights, breathing techniques, and guided self-care sessions.Outerbase | The interface for your databaseOuterbase is an AI-powered platform that simplifies working with databases for engineers, researchers, and analysts. It supports SQL and NoSQL databases, allowing users to manage data securely while using AI tools to write queries, fix mistakes, and generate charts and visualizations instantly. Outerbase's table editor, dashboards, and data catalog help users organize, analyze, and share insights efficiently.🔛 Masterclass: AI/LLM TutorialsVoice Trigger System for SiriApple's voice trigger system for Siri includes a first-stage low-power detector to identify potential triggers, and a second-stage, high-precision model to confirm the trigger. It also incorporates speaker identification to ensure the device responds only to its primary user. This sophisticated setup addresses challenges like background noise and phonetically similar words while maintaining power efficiency and privacy.Align Meta Llama 3 to human preferences with DPODPO involves fine-tuning a large language model (LLM) based on feedback from human annotators who rate or rank the model's responses according to desired values, such as helpfulness and honesty. SageMaker Studio provides the computational environment to fine-tune the model using Jupyter notebooks with powerful GPU instances, while SageMaker Ground Truth simplifies the process of gathering human feedback by managing workflows for data annotation. Together, they allow you to align the Llama 3 model’s responses with specific organizational values efficiently.An Intuitive Intro to RLReinforcement learning (RL) is a type of machine learning where an agent learns by interacting with its environment, making decisions, and receiving feedback in the form of rewards or penalties. The goal is to maximize cumulative rewards over time. The agent starts with little to no knowledge and improves through trial and error, learning from past experiences. In RL, actions taken by the agent change the state of the environment, and based on the rewards received, the agent adjusts its future actions. A key concept in RL is balancing exploration (trying new things) and exploitation (using known strategies for rewards).Enhancing LLMs with Structured Outputs and Function CallingEnhancing LLMs with structured outputs and function calling improves their ability to provide accurate and useful responses. Structured outputs ensure consistency and clarity by organizing information in a logical format, reducing ambiguity. Function calling allows LLMs to perform specific tasks, such as retrieving real-time data or executing external functions, making them more interactive and versatile. Combined with techniques like Retrieval-Augmented Generation (RAG), which integrates relevant external information into the model’s responses, these enhancements lead to more reliable, accurate, and contextually rich conversations with LLMs.Safely repairing broken builds with MLGoogle's engineers have developed a machine learning model called DIDACT to automatically repair broken code builds by analyzing historical data of build errors and their fixes. This model suggests potential fixes to developers directly within their Integrated Development Environment (IDE). In a controlled experiment, the use of these machine learning-suggested fixes improved productivity by reducing active coding and feedback time, and increasing the number of completed code changes.🚀 HackHub: AI ToolsAll-Hands-AI/OpenHandsOpenHands is an AI-powered platform designed to assist with software development, allowing agents to perform tasks similar to human developers. These agents can modify code, run commands, browse the web, call APIs, and even use resources like StackOverflow. OpenHands is easy to set up using Docker and can be run in various modes, including scriptable or interactive CLI.langgenius/difyDify is an open-source platform for developing AI applications, offering an intuitive interface that integrates workflows, agent capabilities, model management, and observability features. Dify's core features include a visual AI workflow builder, integration with numerous LLMs, agent tools, and a retrieval-augmented generation (RAG) pipeline for document handling.TransformerOptimus/SuperAGISuperAGI is an open-source framework designed for developers to create, manage, and run autonomous AI agents. It allows seamless operation of multiple agents simultaneously and provides tools to extend their capabilities. With features like graphical interfaces, performance telemetry, and integration with multiple vector databases, SuperAGI enables AI agents to efficiently handle tasks, learn from experience, and optimize token usage.lllyasviel/Paints-UNDOPaints-Undo is an open-source project that provides AI models designed to simulate the drawing process in digital art. By inputting a completed image, users can generate a sequence of steps showing how that image might have been created, mimicking the "undo" function in digital painting software.Stability-AI/stable-audio-toolsStable-Audio-Tools is an open-source library for working with audio generation models. It provides tools for training and running models that generate audio, including a Gradio interface for testing. Users can install the library via PyPI, and the repository includes scripts for both training models and performing inference.📢 If your company is interested in reaching an audience of developers and, technical professionals, and decision makers, you may want toadvertise with us.If you have any comments or feedback, just reply back to this email.Thanks for reading and have a great day!*{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}}

xAI Colossus supercomputer with 100K H100 GPUs comes onlineAI_Distilled #66: OpenAI co-founder Sutskever's new safety-focused AI startup SSI raises $1 billion200+ 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/moGet It Here For Free (Valid For Next 24 hours Only!)Welcome to AI_Distilled. Today, we’ll talk about:Techwave:[Sponsored] 3-hour Mini Course on AI (worth $399) for FREEOpenAI co-founder Sutskever's new safety-focused AI startup SSI raises $1 billionxAI Colossus supercomputer with 100K H100 GPUs comes onlineOpenAI Japan announces next-generation model 'GPT Next'100M Token Context Windows is here350M downloads of Llama since 2023Awesome AI:Build web applications quickly by generating front-end codePowerful APIs for speech-to-text, text-to-speech, and language understandingv0 by VercelRevolutionize Your Storyboarding ProcessMeasure developer shipping velocity, accuratelyMasterclass:Natural Language Processing and Machine Learning for DevelopersBuild a generative AI image description applicationVisualizing and interpreting decision treesRethinking the Role of PPO in RLHFEnhancing Paragraph Generation with a Latent Language Diffusion Model Transparency is often lacking in datasets used to train large language modelsHackHub:A natural language interface for computersLLM app development platform2^x Image Super-ResolutionVideo generation platform based on diffusion modelsPop Audio-based Piano Cover GenerationCheers!Shreyans SinghEditor-in-Chief, PacktLive 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 FREE⚡ TechWave: AI/GPT News & AnalysisOpenAI co-founder Sutskever's new safety-focused AI startup SSI raises $1 billionSafe Superintelligence (SSI), co-founded by Ilya Sutskever, who was previously the chief scientist at OpenAI. SSI has raised $1 billion in funding to develop safe AI systems that surpass human abilities. The company, valued at $5 billion, plans to use the money for computing power and hiring top talent. Sutskever, along with Daniel Gross and Daniel Levy, started SSI in June 2024.xAI Colossus supercomputer with 100K H100 GPUs comes onlineElon Musk's X (formerly Twitter) has brought online the world's most powerful AI training system, called Colossus, using 100,000 Nvidia H100 GPUs. The supercomputer will soon expand with an additional 50,000 H100 and H200 GPUs, bringing the total to 200,000. Developed by Dell in just 122 days, Colossus will be used for training advanced AI models, such as xAI's Grok version 2.OpenAI Japan announces next-generation model 'GPT Next'Tadao Nagasaki, CEO of OpenAI Japan, announced that ChatGPT has reached over 200 million active users by the end of August, marking it as the fastest software in history to reach this milestone. He highlighted the growing adoption of ChatGPT Enterprise among companies like Apple, Coca-Cola, and Moderna. Nagasaki also discussed OpenAI's future plans, introducing the next-generation AI model, "GPT Next," which he claims will be 100 times more powerful than previous models like GPT-4, supporting advanced capabilities across various data formats.100M Token Context Windows is hereMagic has developed ultra-long context AI models, capable of processing up to 100 million tokens of context during inference, which could revolutionize tasks like code synthesis. To improve testing, Magic introduced HashHop, a method that eliminates these oversights by using random hashes, forcing models to store and retrieve complex information. Magic also announced new partnerships with Google Cloud and NVIDIA to scale AI infrastructure and raised $465M to support their work.350M downloads of Llama since 2023Meta's Llama models have rapidly become one of the most widely used open-source AI model families, with over 350 million downloads, driven by its availability on platforms like Hugging Face and partnerships with major cloud providers like AWS and Azure. Llama 3.1 has expanded its capabilities, offering enhanced context lengths, multilingual support, and new safety tools. Its open-source nature encourages innovation, with companies like AT&T, DoorDash, and Accenture using Llama to enhance customer experiences, streamline operations, and drive AI-powered solutions across industries.💻 Awesome AI: Tools for WorkGPT EngineerBuild web applications quickly by generating front-end code using technologies like React, Tailwind, and Vite. Users can describe their app ideas, sync them with GitHub, and deploy them with a single click.OpenHomeAI-powered voice interface that enables natural, seamless conversations with devices using its Voice SDK, allowing any platform to integrate smart voice control. It offers powerful APIs for speech-to-text, text-to-speech, and language understanding, making it ideal for applications like medical transcription and smart home automation. 500 features, including instant translation, emotion detection, and media control.v0 by VercelGenerate web development components and full interfaces quickly using chat-based prompts. It helps developers create UI elements like buttons, modals, and pages by simply describing what they need, enabling faster development workflows.StoryboarderRapidly transform ideas into detailed storyboards, animatics, and screenplays. With features like Image-To-Video, the platform can turn static images into dynamic videos, enhancing storytelling and saving time. It supports various media projects, including commercials, films, and social media content, and offers integrated scriptwriting, consistent art styles, and expert support to streamline the creative process.Maxium AIAccurately measure developer efficiency by tracking shipping velocity and performance, going beyond just lines of code or commits. It integrates with GitHub to provide a standardized evaluation mechanism across different tech stacks and programming languages.🔛 Masterclass: AI/LLM TutorialsBuild a generative AI image description applicationThis guide explains how to build an application for generating image descriptions using Anthropic's Claude 3.5 Sonnet model on Amazon Bedrock and AWS CDK. By integrating Amazon Bedrock’s multimodal models with AWS services like Lambda, AppSync, and Step Functions, you can quickly develop a solution that processes images and generates descriptions in multiple languages. The use of Generative AI CDK Constructs streamlines infrastructure setup, making it easier to deploy and manage the application.Visualizing and interpreting decision treesTensorFlow recently introduced a tutorial on using dtreeviz, a leading visualization tool, to help users visualize and interpret decision trees. dtreeviz shows how decision nodes split features and how training data is distributed across different leaves. For example, a decision tree might use features like the number of legs and eyes to classify animals. By visualizing the tree with dtreeviz, you can see how each feature influences the model's predictions and understand why a particular decision was made.Rethinking the Role of PPO in RLHFIn Reinforcement Learning with Human Feedback (RLHF), there's a challenge where the reward model uses comparative feedback (i.e., comparing multiple responses) while the fine-tuning phase of RL uses absolute rewards (i.e., evaluating responses individually). This discrepancy can lead to issues in training. To address this, researchers introduced Pairwise Proximal Policy Optimization (P3O), a new method that integrates comparative feedback throughout the RL process. By using a pairwise policy gradient, P3O aligns the reward modeling and fine-tuning stages, improving the consistency and effectiveness of training. This approach has shown better performance in terms of reward and alignment with human preferences compared to previous methods.Enhancing Paragraph Generation with a Latent Language Diffusion Model The PLANNER model, introduced in 2023, enhances paragraph generation by combining latent semantic diffusion with autoregressive techniques. Traditional models like GPT often produce repetitive or low-quality text due to "exposure bias," where the training and inference processes differ. PLANNER addresses this by using a latent diffusion approach that refines text iteratively, improving coherence and diversity. It encodes paragraphs into latent codes, processes them through a diffusion model, and then decodes them into high-quality text. This method reduces repetition and enhances text quality.Transparency is often lacking in datasets used to train large language modelsA recent study highlights the lack of transparency in datasets used to train large language models (LLMs). As these datasets are combined from various sources, crucial information about their origins and usage restrictions often gets lost. This issue not only raises legal and ethical concerns but can also impact model performance by introducing biases or errors if the data is miscategorized. To address this, researchers developed the Data Provenance Explorer, a tool that provides clear summaries of a dataset’s origins, licenses, and usage rights.🚀 HackHub: AI ToolsOpenInterpreter/open-interpreterOpen Interpreter is a tool that allows language models (like GPT-4) to execute code locally on your machine, supporting languages like Python, JavaScript, and shell scripts. It works like ChatGPT but with the ability to interact with your system's resources.langgenius/difyDify is an open-source platform for developing AI applications using large language models (LLMs). It provides an intuitive interface for building AI workflows, managing models, and integrating tools like Google Search or DALL·E. Dify supports a wide variety of LLMs and offers features like a prompt IDE, document retrieval (RAG), agent-based automation, and detailed observability for monitoring performance.Tohrusky/Final2xFinal2x is a cross-platform tool designed to enhance image resolution and quality using advanced super-resolution models such as RealCUGAN, RealESRGAN, and Waifu2x. It's ideal for anyone looking to improve image resolution efficiently across various platforms.ali-vilab/VGenVGen is an open-source video generation platform from Alibaba's Tongyi Lab that offers a wide range of tools for generating videos from various inputs like text, images, and motion instructions. It features state-of-the-art models like I2VGen-xl for image-to-video synthesis and DreamVideo for custom subject and motion generation. VGen supports tasks like video generation from human feedback and video latent consistency modeling.sweetcocoa/pop2pianoPop2Piano is a deep learning model that automatically generates piano covers from pop music audio. Traditionally, creating a piano cover involves understanding the song's melody, chords, and mood, which is challenging even for humans. Prior methods used melody and chord extraction, but Pop2Piano skips these steps, directly converting pop music waveforms into piano covers using a Transformer-based approach. The model was trained on a large dataset of synchronized pop songs and piano covers (300 hours), enabling it to generate plausible piano performances without explicit musical extraction modules.📢 If your company is interested in reaching an audience of developers and, technical professionals, and decision makers, you may want toadvertise with us.If you have any comments or feedback, just reply back to this email.Thanks for reading and have a great day!*{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}}

Cursor AI raises $60M AI_Distilled #65: Google launches new Gemini models ChatGPT for Conversational AI and Chatbots This book covers the fundamentals of ChatGPT, its applications in conversation design, and practical uses in various contexts. The book delves into LangChain, a framework for working with language models, teaching readers about prompt engineering, chatbot memory, vector stores, and response validation. It also explores the creation of ChatGPT-powered chatbots that can interact with custom data sources, and guides readers through building chatbot user interfaces. Get it for $35.99 $24.99 Welcome to AI_Distilled. Today, we’ll talk about: Techwave: Google launches new Gemini models Cursor AI raises $60M Artifacts are now generally available \ Anthropic Salesforce introduces two new AI sales agents System Prompts Release Notes for Claude.ai and Mobile Apps Awesome AI: LM Studio - Discover, download, and run local LLMs Painless Data Extraction and Web Automation Fleak AI Serverless API Builder Listen to Actual Clients' Feedback Theysaid - Conversational AI Surveys Masterclass: Unlocking 7B+ language models in your browser: A deep dive with Google AI Edge's MediaPipe Deploying Attention-Based Vision Transformers to Apple Neural Engine Mistral-NeMo: 4.1x Smaller with Quantized Minitron Connect the Amazon Q Business generative AI coding companion to your GitHub repositories Augmenting recommendation systems with LLMs HackHub: high-performance, multiplayer code editor from the creators of Atom and Tree-sitter. Multi-Platform Package Manager for Stable Diffusion Sharpen your low-resolution pictures with the power of AI upscaling Transform your database into your AI platform Large language model series developed by Qwen team, Alibaba Cloud. Cheers! Shreyans Singh Editor-in-Chief, Packt ⚡ TechWave: AI/GPT News & Analysis Google launches new Gemini models Google has announced updates to its experimental Gemini models, including a smaller, improved variant called Gemini 1.5 Flash-8B and a more powerful version named Gemini 1.5 Pro. These models show significant performance gains in areas like coding and handling complex prompts. The updates aim to gather feedback from developers before a full-scale release, with the models available for free testing via Google AI Studio and the Gemini API. While some praise the rapid improvements, others criticize the models for still struggling with longer tasks and coding reliability. Cursor AI raises $60M AI startup Cursor, founded by four MIT friends, has gained popularity for its AI-powered code completion tools, now used by engineers at top AI companies like OpenAI and Midjourney. Recently, Cursor raised $60 million in a Series A funding round, bringing its valuation to $400 million. The software, built on large language models like GPT-4, helps developers automate tedious coding tasks, making it easier to fix bugs and build prototypes. With over 30,000 users, Cursor aims to revolutionize coding by allowing engineers to focus more on creativity and complex problem-solving. Artifacts are now generally available \ Anthropic Claude has made its Artifacts feature available to all users across Free, Pro, and Team plans, including on iOS and Android apps. Artifacts allow users to create, view, and iterate on various work products, like code snippets, flowcharts, and interactive dashboards, directly within their conversations with Claude. Since its preview launch in June, tens of millions of Artifacts have been created. Salesforce introduces two new AI sales agents Salesforce has introduced two new AI-powered sales agents: Einstein SDR Agent and Einstein Sales Coach Agent, both launching in October. Einstein SDR Agent autonomously manages inbound leads, answering questions, handling objections, and scheduling meetings, freeing up sales teams to focus on more complex tasks. Einstein Sales Coach Agent helps sales representatives improve their skills by simulating buyer interactions and providing feedback. These tools, built on Salesforce’s Einstein 1 Agentforce Platform, aim to enhance sales productivity and effectiveness, with companies like Accenture planning to use them to manage complex deals and scale operations. System Prompts Release Notes for Claude.ai and Mobile Apps Anthropic has introduced a new section in their documentation to log updates to the default system prompts used in conversations on Claude.ai and its mobile apps. These prompts guide how Claude interacts with users, providing up-to-date information and encouraging specific behaviors, like using Markdown for code snippets. The updates to these system prompts aim to improve Claude’s responses but do not affect the Anthropic API. 💻 Awesome AI: Tools for Work LM Studio - Discover, download, and run local LLMs LM Studio 0.3.0 is a major update to the local LLM desktop application that enhances its offline capabilities with new features. Users can now chat with documents, using either full document context or "Retrieval Augmented Generation" (RAG) for longer texts. The update also introduces an OpenAI-like JSON output API, customizable UI themes, and automatic hardware detection for optimal performance. Painless Data Extraction and Web Automation (agentql.com) AgentQL is a powerful tool for data extraction and web automation that uses AI to reliably find and interact with web elements, even as websites change. Unlike traditional methods that rely on fragile XPath or DOM selectors, AgentQL allows users to locate elements using natural language descriptions, making it easier to automate tasks like filling forms, gathering data, and conducting end-to-end testing. Fleak AI Workflows. Simplified | Serverless API Builder | fleak.ai Fleak is a low-code, serverless API builder designed for data teams to quickly and easily create, integrate, and scale AI and data workflows without managing any infrastructure. It allows users to configure and deploy workflows in minutes, seamlessly integrating with tools like large language models, vector databases, and modern storage technologies. Listen to Actual Clients' Feedback | Seven24 AI Seven24 helps you capture and act on user feedback with ease. Integrate their tool into your product to collect feedback via text or voice, and their AI transforms this feedback into actionable tasks. With features like sentiment analysis, you can boost positive reviews and address issues quickly. Theysaid - Conversational AI Surveys TheySaid offers the world’s first conversational AI survey, designed to significantly increase response rates and improve customer engagement. By integrating seamlessly with your existing tech stack, the AI tool generates personalized survey questions based on your website content and follows up with users through conversational interactions. 🔛 Masterclass: AI/LLM Tutorials Unlocking 7B+ language models in your browser: A deep dive with Google AI Edge's MediaPipe Google AI Edge's MediaPipe has developed a new system that allows large language models (LLMs) to run directly in web browsers, overcoming memory and performance limitations. By using WebAssembly and WebGPU, MediaPipe can now load and execute models like Gemma 1.1 with 7 billion parameters, which was previously unfeasible in-browser. The approach includes breaking down models into manageable parts and leveraging efficient memory usage techniques to handle the massive size of LLMs. Deploying Attention-Based Vision Transformers to Apple Neural Engine The concept of Vision Transformers (ViTs) was introduced to leverage transformer models, which were originally used in natural language processing, for image recognition tasks. Unlike traditional Convolutional Neural Networks (CNNs), Vision Transformers process images by dividing them into smaller patches and applying attention mechanisms. This approach can handle various computer vision tasks such as image classification and object detection more effectively. Mistral-NeMo: 4.1x Smaller with Quantized Minitron NVIDIA's Minitron technique makes large language models (LLMs) like Mistral-NeMo smaller and more efficient by removing less critical parts and retraining them. This process reduces the models' sizes while keeping their performance high. The Minitron version of Mistral-NeMo, for instance, shrinks the model from 12 billion to 8 billion parameters. Combining Minitron with 4-bit quantization further compresses these models, allowing them to run on smaller GPUs and reducing operational costs. Connect the Amazon Q Business generative AI coding companion to your GitHub repositories You can link Amazon Q Business, an AI-powered assistant, to your GitHub repositories using the Amazon Q GitHub (Cloud) connector. This setup allows you to use natural language queries to access information like commits, issues, and pull requests from your GitHub repositories. By integrating this tool, your development team can boost productivity, reduce context switching, and quickly retrieve information from your GitHub data through a conversational interface. Augmenting recommendation systems with LLMs Large language models (LLMs), like Google's PaLM, can significantly enhance recommendation systems by integrating advanced AI capabilities. By incorporating LLMs into the recommendation pipeline, you can improve features like conversational recommendations, sequential recommendations based on user activity, and rating predictions. LLMs can interactively suggest items, understand the sequence of user preferences, and predict ratings with high accuracy. 🚀 HackHub: AI Tools zed-industries/zed Zed is a high-performance, multiplayer code editor developed by the team behind Atom and Tree-sitter. It can be installed on macOS and Linux directly or through package managers, though it’s not yet available for Windows or web platforms. LykosAI/StabilityMatrix Stability Matrix is a multi-platform tool designed for managing Stable Diffusion Web UI packages across Windows, Linux, and macOS. It features a customizable interface with a syntax-highlighted terminal, a model browser for importing models from CivitAI and HuggingFace, and a shared model directory for all packages. Lucchetto/SuperImage SuperImage is an Android app that uses AI to enhance low-resolution images by upscaling them to higher resolutions. Built with the MNN framework and Real-ESRGAN, it processes images in tiles on the device's GPU, merging them into a high-resolution final image. It requires Android 7 or above and support for Vulkan or OpenCL. superduper-io/superduper Integrate AI models and machine learning workflows with your database to implement custom AI applications, without moving your data. Including streaming inference, scalable model hosting, training and vector search. QwenLM/Qwen2 Qwen2 is a suite of advanced language models available in various sizes, including up to 72 billion parameters. It offers state-of-the-art performance in tasks like coding and math, and supports up to 128K tokens for extended context. The models are pretrained and instruction-tuned, and they are available for use through Hugging Face and ModelScope. 📢 If your company is interested in reaching an audience of developers and, technical professionals, and decision makers, you may want toadvertise with us. If you have any comments or feedback, just reply back to this email. Thanks for reading and have a great day! *{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}}