Large Language Models (LLMs) are revolutionizing the way we interact with computers. LLMs can generate and understand human language, and they are being used to develop a wide range of new applications, from chatbots to code generators.
If you are a programmer, LLM programming is a must-have skill. LLMs can help you to automate tasks, improve your productivity, and create new and innovative products.
This book is a comprehensive guide to LLM programming. It covers everything you need to know to get started,
What are LLMs and how do they work? How to use LLMs in different programming languages The available LLM APIs and libraries LLM programming basics, such as syntax, structure, prompt engineering, training, fine-tuning, error handling, and debugging Common LLM programming tasks, such as generating source code, code completion, code documentation, software testing, and debugging code Advanced LLM programming techniques, such as fine-tuning, transfer learning, ensemble learning, and debugging Best practices in LLM programming The book also includes case studies of how LLMs are being used to solve real-world problems, as well as hands-on practice with LLMs.
Whether you are a beginner or an experienced programmer, this book will teach you everything you need to know to start using LLMs to create amazing things.
Who should read this book?
Programmers who want to learn how to use LLMs Data scientists who want to learn how to use LLMs for natural language processing, computer vision, and robotics Researchers who want to learn about the latest advances in LLM programming Anyone who is interested in learning about the future of AI and programming What will you learn from this book?
What are LLMs and how do they work? How to use LLMs in different programming languages The available LLM APIs and libraries LLM programming basics, such as syntax, structure, prompt engineering, training, fine-tuning, error handling, and debugging Common LLM programming tasks, such as generating source code, code completion, code documentation, software testing, and debugging code Advanced LLM programming techniques, such as fine-tuning, transfer learning, ensemble learning, and debugging Best practices in LLM programming How to use LLMs to solve real-world problems Why should you buy this book?
This book is the most comprehensive guide to LLM programming available. It is written in a clear and concise style, making it easy to understand. It includes case studies and hands-on practice, so you can start using LLMs right away. It is up-to-date with the latest advances in LLM programming. If you are interested in learning how to use LLMs to create amazing things, then this book is for you.