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N/A Oct 14, 2024

Excellent book reference for developers who want understanding utility of developing software with generative artificial intelligence.

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Banachan Oct 15, 2024

This book gives a great progression of the topics in regard to LLMs and use cases. It starts with the basic principles and premises and goes into more details chapter by chapter. So if you want a broad landscape perspective of use LLMs especially on how it is applied in chats, assistants, and used to help generate regression, classification unsupervised, and even deep learning models, etc. this is a good book to get and utilize for your purposes. It gives a good grounding on the world of LLMs and how to apply it by walking you through its practical applications and approaches.While not as deep technically as I would have hoped, it gives a good grounding on what to expect for such a new field in AI. Concepts on how apply LLMs in prompting, front and back end web app dev using assistants, data analysis are covered in enough detail. If you're already familiar with traditional classification and regressions modeling, it also covers how do it with LLMs. It blends both the traditional and newer methods to give you a sense on how to leverage what you already know with LLM based approaches. The code generation assistants make for a good exercise to accelerate your machine learning coding efforts.In all these of course, you need to have a good understanding of machine learning to begin with, as depending 100% on AI is not a panacea for good machine learning modeling expertise to apply in the real world. A small bonus content is that the book also covers Agentic processes in software development. Since this area is so new (as of this writing), a good basic introduction on the concepts were discussed.Overall, a good read providing a good virtual roadmap on how to do traditional machine learning using more cutting -edge tools and assistants. Highly recommended book and must read for those getting into the LLM field.

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saandeep sreerambatla Oct 02, 2024

As a developer curious about leveraging AI in my workflow, "AI Assisted Programming for Web and Machine Learning" was a refreshing deep dive into the world of AI-assisted coding. Initially unsure of how tools like GitHub Copilot or ChatGPT would mesh with my development process, the book's clear, hands-on tutorials made the transition seamless.What I appreciated most was the practical application—building full web apps while integrating machine learning models, all enhanced by AI-generated code. The focus on real-world scenarios helped me see how these tools could drastically boost productivity.The section on prompt engineering is particularly insightful, teaching you how to effectively guide AI for more precise outcomes. This book doesn’t just show you how to use AI but pushes you to critically evaluate the results and refine your approach. I found the machine learning sections equally useful, especially for data exploration and model optimization, making it relevant for both web developers and data scientists alike.For anyone wondering if AI tools can fit into their workflow, this book is an essential guide. It's thorough but accessible, designed to give both beginners and seasoned developers the skills to harness AI and improve efficiency across projects.

Andre Thomas Sep 20, 2024

AI is the future so you’d better start getting acquainted with it.I was excited to get to review AI-Assisted Programming for Web and Machine Learning (AAPWML) because I recently started incorporating ChatGPT into my workflow. It has been a wonderful tutor when I need explanations and when I need examples for concepts and keywords I never heard of or used.If you’re new to GPTs and LLMs and want to figure out how to incorporate it into your workflow then AAPWML is a great resource to have on the shelf. In the beginning, it gives a baseline understanding of what GPTs, LLMs, and NLPs are. Not necessarily required knowledge but good for curious minds.You then move on to the bread and butter of the book: how to communicate with them. I initially thought this was a straight forward task but you’ll soon find out that there’s an art to it. Further, there’s a strategy to having these GPTs help you—also another process that many might think is straight forward. And, hey, maybe it is for some very seasoned pros but not for all. This book helps you tackle that challenge as well by going step-by-step through building an e-commerce application.What I didn’t like about the book is that the writers use Github Copilot to build the application. I have nothing against it just that it is a paid tool. Even though it’s a $10/month for personal use, I think it would have been better to use a free tool so that no one has to pay to follow along with this book. Obviously, there are ways around this but I just thought it worth mentioning.Nonetheless, I think the book is well written and will help anyone get started on pair programming with AI tools.

Sharan Shirodkar Sep 23, 2024

A comprehensive resource for developers seeking to enhance their web and machine learning projects with AI-driven tools. Highly recommended

AI-Assisted Programming for Web and Machine Learning: Improve your development workflow with ChatGPT and GitHub Copilot

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