This book is a short and practical guide to large language models (LLMs). It explains what LLMs are and how they work. The author, Sinan Ozdemir, gives clear examples to help readers understand hard topics in an easy way. The goal of the book is to help readers build useful tools with LLMs, such as chatbots or search engines. It also shows how to use open-source models instead of relying only on commercial tools.

The book begins by explaining how LLMs are trained and used. Later chapters teach users how to do tasks like summarizing, translating, and answering questions. Ozdemir also talks about prompt engineering and how to make LLMs work better for your own needs. The last chapters give advice on how to use these models safely and fairly. The book includes real code examples and links to GitHub so readers can try things out.

The book is written for people with some basic Python and machine learning knowledge. It is not too technical, making it easy to follow. Readers who want to start building artificial intelligence (AI) applications will find this book helpful. It is up to date and gives a good introduction to current LLM tools. It is a good fit for developers, data scientists, and students who want a simple but useful starting point.

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