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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Dive into large language models with this comprehensive quick start guide from the Addison-Wesley Data & Analytics Series. Authored by Sinan Ozdemir, it covers essential strategies and best practices for ChatGPT, embeddings, fine-tuning, and multimodal AI, equipping readers with the tools to leverage these technologies in real-world data analytics projects.

About This Book

This book serves as a quick start guide to large language models, offering practical strategies and best practices for working with advanced AI technologies.

Readers will learn about ChatGPT, embeddings, fine-tuning techniques, and multimodal AI within the context of the Addison-Wesley Data & Analytics Series.

Authored by Sinan Ozdemir, it provides foundational knowledge for implementing these tools effectively in data-driven applications.

The guide emphasizes actionable insights to help professionals navigate the complexities of modern AI models.

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I will be using this book for: