The Practical, Step-by-Step Guide to Using LLMs at Scale in Projects and Products

Large Language Models (LLMs) like Llama 3, Claude 3, and the GPT family are demonstrating breathtaking capabilities, but their size and complexity have deterred many practitioners from applying them. In Quick Start Guide to Large Language Models, Second Edition, pioneering data scientist and AI entrepreneur Sinan Ozdemir clears away those obstacles and provides a guide to working with, integrating, and deploying LLMs to solve practical problems.

Ozdemir brings together all you need to get started, even if you have no direct experience with LLMs: step-by-step instructions, best practices, real-world case studies, and hands-on exercises. Along the way, he shares insights into LLMs’ inner workings to help you optimize model choice, data formats, prompting, fine-tuning, performance, and much more. The resources on the companion website include sample datasets and up-to-date code for working with open- and closed-source LLMs such as those from OpenAI (GPT-4 and GPT-3.5), Google (BERT, T5, and Gemini), X (Grok), Anthropic (the Claude family), Cohere (the Command family), and Meta (BART and the LLaMA family).

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)

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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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)

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