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

by Sinan Ozdemir

artificial intelligence Machine Learning Data Science
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Quick Start Guide to Large Language Models offers an accessible overview of ChatGPT, embeddings, fine-tuning, and multimodal AI. Sinan Ozdemir presents strategies and best practices for readers beginning to explore large language models and the broader data and analytics technologies surrounding them.

About This Book

Quick Start Guide to Large Language Models introduces key concepts and practical considerations surrounding modern language-model technologies.

The book focuses on ChatGPT, embeddings, fine-tuning, and multimodal AI, presenting strategies and best practices for working with these tools.

Written by Sinan Ozdemir, this guide is part of the Addison-Wesley Data & Analytics Series.

It is designed as an accessible starting point for readers seeking a broad understanding of large language models and their related applications.

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I will be using this book for: