AI Engineering: Building Applications with Foundation Models
- Downloads：1730
- Type：Epub+TxT+PDF+Mobi
- Create Date：2025-04-21 02:20:37
- Update Date：2025-09-08
- Status：finish
- Author：Chip Huyen
- ISBN：B0DWHRL19D
- Environment：PC/Android/iPhone/iPad/Kindle
Reviews
3thn
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Great for someone who has background in ml transitioning to this new age
Thang
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Good book and informative if you want to understand the current state of LLM development process。 The book provides a broad view， but I feel a lack of depth and practical examples。 Also， it focuses on trending techniques， so I wonder if it would become obsolete after short time。
Sebastian Gebski
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Uff， I've finally managed to get this one through - and this was quite a journey。Why did I reach for it？ Based on recommendations of some knowledgeable people who called it a best book to upgrade your practical skills on building modern AI systems。What did I expect？ I call it a "Karpathy" level experience ;D Andrej is able to explain complex concepts in a way that still requires a lot of effort， but it reduces significantly the "steepness" of the learning curve。Did I get it？ Not really， but it d Uff， I've finally managed to get this one through - and this was quite a journey。Why did I reach for it？ Based on recommendations of some knowledgeable people who called it a best book to upgrade your practical skills on building modern AI systems。What did I expect？ I call it a "Karpathy" level experience ;D Andrej is able to explain complex concepts in a way that still requires a lot of effort， but it reduces significantly the "steepness" of the learning curve。Did I get it？ Not really， but it doesn't mean it's a bad book:- it doesn't assume much when it comes to your starting level （with Gen AI， LLMs）， so you're taught concepts like finetuning， RAG or recall- it indeed does not focus on a single aspect of using LLMs （e。g。， prompting） - there are decent chapters on finetuning （even - very decent）， quality assurance， inference optimisation， etc。- sometimes very unevenly it jumps between pretty high and very deep level - I don't think the author is bragging， it's just that she was no sure who the book is for: the folks who just start with building simple things with AI， or the ones who know all the basics bits and pieces and now need to dive really deep- it's clear that the author is very knowledgeable， I won't question that - but I missed a bit of "practical decision-making" when it comes to going beyond the basic arch （which is covered）; that may be feel I'm not getting much beyond what is already freely available online in abundanceGood book， or even a very good one （4。3-4。5）， but it didn't rock my world。 Yes， there were some sub-chapters definitely beyond my level of knowledge （which I didn't follow straight to the very end）， but still - I think I've expected （after the enthusiastic reviews） slightly "more"。 Maybe this more is more "focus" or more "practicability"。 And no， unfortunately it wasn't "Karpathy level" of explaining ;） But I'll definitely check out what that author releases next - this one was a good start。 。。。more
Muqsit Nawaz
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It's a "lay of the land" book and does a decent job at that It's a "lay of the land" book and does a decent job at that 。。。more
bimri
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Chip must have gone through tremendous effort to compile this tome。 （For that， this book deserves full merit on the rating score。） It had its lingering difficulties in explanations of research concepts underpinning current AI breakthroughs; but as the disclaimer to this book went， it was an expectation at the end of the day。 What this book is great at is the ultimate compression of so many moving parts in AI sea of content。 My favorite bits is when Chip fervently talked about AI accelerators & e Chip must have gone through tremendous effort to compile this tome。 （For that， this book deserves full merit on the rating score。） It had its lingering difficulties in explanations of research concepts underpinning current AI breakthroughs; but as the disclaimer to this book went， it was an expectation at the end of the day。 What this book is great at is the ultimate compression of so many moving parts in AI sea of content。 My favorite bits is when Chip fervently talked about AI accelerators & especially on the hardware side of things， I bet Chip owns NVIDIA stocks & wrote this section as though Jensen himself would read it！！！ Kudos to the author for this aggregated knowledge and structure instilled in defining this AIE discipline。 For those who are wondering， bruh - be ready for so much evaluations， monitoring & feedback of AI systems！ Amor Fati！ 。。。more
Lucille Nguyen
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Good well-rounded book about how to design， evaluate， and deploy foundation model-based systems。 Fairly comprehensive for its size and offers a lot of sources to read further。
AnhDuc
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Nice overview on ai engineering
Tomek Sobolewski
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Woah， this is a really good book。 I grabbed it after seeing a bunch of recommendations on X and some software blogs。 At first， I was mostly curious about stuff in the last chapter， but ended up reading the whole thing to get it better。 Really liked how it explains everything on different levels—from hardware and software all the way up to models and architecture。 It goes deep enough to give you the basics you need to actually get what's happening in AI right now。 Some chapters are a bit heavy on Woah， this is a really good book。 I grabbed it after seeing a bunch of recommendations on X and some software blogs。 At first， I was mostly curious about stuff in the last chapter， but ended up reading the whole thing to get it better。 Really liked how it explains everything on different levels—from hardware and software all the way up to models and architecture。 It goes deep enough to give you the basics you need to actually get what's happening in AI right now。 Some chapters are a bit heavy on math but honestly not that hard to follow。 I'd def recommend this to anyone who wants a solid start in AI without getting lost in all the hype。 。。。more
Suhel
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banger book， lots of alpha， some really useful practical that I haven't heard anywhere else。 banger book， lots of alpha， some really useful practical that I haven't heard anywhere else。 。。。more
Msalem
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Excellent book。 Highly recommend for anyone interested in understanding what current day AI is all about。
dantelk
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My profession is computer programming， and I wanted to read more on AI， both for my own pleasure， and since I didn't want to lag behind the competitors （other programmers）。Before starting this book， i tried two others， and DNF them。- https://www。goodreads。com/book/show/2。。。 this one made a too quick deep dive， and i felt that what I was reading didn't leave any foundation information in my memory。 - https://www。goodreads。com/book/show/1。。。 I am not THAT nerd。 Although I am new to the field， and My profession is computer programming， and I wanted to read more on AI， both for my own pleasure， and since I didn't want to lag behind the competitors （other programmers）。Before starting this book， i tried two others， and DNF them。- https://www。goodreads。com/book/show/2。。。 this one made a too quick deep dive， and i felt that what I was reading didn't leave any foundation information in my memory。 - https://www。goodreads。com/book/show/1。。。 I am not THAT nerd。 Although I am new to the field， and the book spreads into a wide range of topics， Chip's book was easy to follow， and was a good introduction for my level。 I believe I should better re-read it after a year or so， when my overall AI knowledge is more advanced。 If I was interviewed about the topics discusses in the book today， probably I wouldn't be able to utter more than a few words， but still， I felt that the book laid good foundation information， and gave me insight about what to focus on the following levels of my AI education。 There are at least two other goodreads friends of mine who read this book simultaneously， and I am very curious about their own impressions too！ :） I guess people with more advanced AI knowledge my find the book a bit high level。 。。。more
Baran Cezayirli
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This is one of the best books you can read to make sense of AI engineering without the hype。 Each chapter is written with great care and excellent flow; all chapters are referenced with papers to back up。
Lensvol
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I really liked this book！ It systematically gives you information about this hot new topic in a measured way at just the right level of abstraction。And it is nice to read a book about _engineering_ side instead of yet another "How to change your life with ChatGPT" or "Prompts for Dummies"！I would also recommend this book for those who oppose AI and want to fight it， as it outlines all the juicy parts and vectors for attack。 I really liked this book！ It systematically gives you information about this hot new topic in a measured way at just the right level of abstraction。And it is nice to read a book about _engineering_ side instead of yet another "How to change your life with ChatGPT" or "Prompts for Dummies"！I would also recommend this book for those who oppose AI and want to fight it， as it outlines all the juicy parts and vectors for attack。 。。。more
Justin
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8/10
Chí
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This book serves as a handbook for those looking to build applications with available foundation models。 Chip Huyen， with her extensive experience in the field， guides readers through the process of building AI systems—from model selection and evaluation to prompt engineering， as well as advanced techniques like Retrieval-Augmented Generation （RAG）， Agents， and fine-tuning。Rather than being a typical tutorial， this book is more like a collection of insights and experiences from Chip Huyen’s pers This book serves as a handbook for those looking to build applications with available foundation models。 Chip Huyen， with her extensive experience in the field， guides readers through the process of building AI systems—from model selection and evaluation to prompt engineering， as well as advanced techniques like Retrieval-Augmented Generation （RAG）， Agents， and fine-tuning。Rather than being a typical tutorial， this book is more like a collection of insights and experiences from Chip Huyen’s personal and professional journey in AI application development。 It provides practical advice on handling various scenarios， focusing more on engineering rather than research。 There’s no code or mathematical formulas， making it accessible even to general readers， though AI professionals will find it particularly enlightening。Despite being in English， the book is easy to read， with no overly complex vocabulary。 The writing style is clear， coherent， and easy to understand。Highly recommended for those looking to grasp the practical aspects of building AI applications with foundation models。 。。。more
Thư
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great overview of AI engineering。 will write a detailed review later but in general my favorite chapters are the ones about sampling and inference optimization。
Iván Peralta
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A great overview of the AI Engineering state of the art by the end of 2024， "sadly" because of the evolution speed of AI， it might get partially obsolete in a few months。 But I'm confident the structure will keep relevant。 A great overview of the AI Engineering state of the art by the end of 2024， "sadly" because of the evolution speed of AI， it might get partially obsolete in a few months。 But I'm confident the structure will keep relevant。 。。。more
Jeevan
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Yet another comprehensively researched book by Chip and this time on the emerging field of AI engineering - i。e。 building applications on top of foundation models。 Many chapters in the book are hard to write because of the sheer amount of progress in just the last few years。 Kudos to the author for organizing the content， including ton of references and explaining the origin stories of the key ideas。 The references to Sherlock Holmes， Shannon make the reading more interesting。 A must read （conti Yet another comprehensively researched book by Chip and this time on the emerging field of AI engineering - i。e。 building applications on top of foundation models。 Many chapters in the book are hard to write because of the sheer amount of progress in just the last few years。 Kudos to the author for organizing the content， including ton of references and explaining the origin stories of the key ideas。 The references to Sherlock Holmes， Shannon make the reading more interesting。 A must read （continuous read） if you are a practitioner in this field。 。。。more
Fisher C
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The author covers a wide range of topics。 However， it's not very technical， and the target audience seems to be managers/decision-makers rather than practitioners。I do find the footnotes interesting。 The author covers a wide range of topics。 However， it's not very technical， and the target audience seems to be managers/decision-makers rather than practitioners。I do find the footnotes interesting。 。。。more
Özgür
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Book is structured like a set of twitter threads on llm concepts。Good for beginners。。。
Avraam Mavridis
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