Quick Start Guide to Large Language Models: Strategies and Best Practices for ChatGPT, Embeddings, Fine-Tuning, and Multimodal AI (Addison-Wesley Data & Analytics Series)

11 reviews for Quick Start Guide to Large Language Models: Strategies and Best Practices for ChatGPT, Embeddings, Fine-Tuning, and Multimodal AI (Addison-Wesley Data & Analytics Series)

1. Kyla Barton

   Rated 5 out of 5

   October 30, 2024

   A Great Second Edition

   ⭐️⭐️⭐️⭐️⭐️

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   Ashley Lenz

   Rated 5 out of 5

   October 29, 2024

   Excellent guide for anyone diving into large language models

   Easy to follow and packed with practical and applicable advice for ChatGPT, embeddings, and fine-tuning.

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   Meredith Birchfield

   Rated 5 out of 5

   October 29, 2024

   🌟🌟🌟🌟🌟 A Must-Have for Anyone Working with LLMs

   Sinan Ozdemir’s Quick Start Guide to Large Language Models is an invaluable resource for anyone diving into the world of LLMs. This book breaks down c...More

   Sinan Ozdemir’s Quick Start Guide to Large Language Models is an invaluable resource for anyone diving into the world of LLMs. This book breaks down complex topics with clear, practical steps, covering everything from fine-tuning and prompt engineering to deploying models like GPT-4 and LLaMA in real-world applications. The hands-on exercises and examples make it easy to apply the concepts right away. Perfect for beginners and experienced practitioners alike—highly recommended.

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   M

   Rated 5 out of 5

   October 26, 2024

   LLMs, clearly communicated

   The author knows the material and clearly does an excellent job of communicating it, in a way for novices to understand. He steadily builds up the rea...More

   The author knows the material and clearly does an excellent job of communicating it, in a way for novices to understand. He steadily builds up the reader's confidence with LLMs. This edition addresses many of the issues of the first edition, including updated models and new chapters. I enthusiastically recommend this book for anyone new to the area.

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   Philip Thomas

   Rated 5 out of 5

   October 25, 2024

   Tactical guide to using LLMs

   All of a sudden, software developers need to know a lot about LLMs. I found this book useful for getting a technical overview of LLMs, along with tact...More

   All of a sudden, software developers need to know a lot about LLMs. I found this book useful for getting a technical overview of LLMs, along with tactical ways to apply them. It balances "just enough" information to get you productive in a relatively short book, while still being thorough and technical.

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   kvnlee

   Rated 5 out of 5

   October 25, 2024

   A must-read for anyone looking to jump into large language models

   What I love most about this book is how accessible it makes such a complex subject. Even if you don’t have prior experience with LLMs, Sinan walks you...More

   What I love most about this book is how accessible it makes such a complex subject. Even if you don’t have prior experience with LLMs, Sinan walks you through every step, providing clear instructions, practical case studies, and hands-on exercises that make learning both engaging and practical.
   
   This guide is perfect for data scientists, AI enthusiasts, and developers. I highly recommend this book to anyone looking to start or deepen their journey into the world of large language models.

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   R Guru Prakash

   Rated 5 out of 5

   October 23, 2024

   Best book to learn everything about LLMs

   This book offers practical strategies and best practices that have been incredibly valuable in my work.

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   Emma

   Rated 5 out of 5

   October 23, 2024

   In-depth guide to LLMs

   Learn enterprise-grade techniques of applying LLMs in production. The author has a mix of academic and entrepreneurial background unique to the real-w...More

   Learn enterprise-grade techniques of applying LLMs in production. The author has a mix of academic and entrepreneurial background unique to the real-world adoption of this emerging tech stack. This new edition brings in latest developments, important in a fast-evolving space.

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   Chaylene Guinto

   Rated 5 out of 5

   October 23, 2024

   Useful to come back to again and again while building your next project

   Useful for those who are new to working with LLMs and want a hands-on guide. The clear instructions and real-world examples make it approachable, espe...More

   Useful for those who are new to working with LLMs and want a hands-on guide. The clear instructions and real-world examples make it approachable, especially if you’re looking to apply LLMs to practical projects while diving just deep enough into the technical details.
   
   That said, if you’re already an expert with LLMs or are looking for more advanced PhD level concepts, this book might not be for you.

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   E

   Rated 5 out of 5

   October 22, 2024

   Helpful for a beginner!

   Clear examples, easy to follow, well-written.

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   O

   Rated 5 out of 5

   October 19, 2024

   Great follow up to the first edition

   More chapters, more content, more up to date examples. Worth checking out if you're a beginner to LLMs / AI!

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