[computer-internet] The Hundred Page Language Models Book: Hands-...

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Master language models through mathematics, illustrations, and code―and build your own from scratch! The Hundred-Page Language Models Book by Andriy Burkov, the follow-up to his bestselling The Hundred-Page Machine Learning Book, offers a concise yet thorough journey from language modeling fundamentals to the cutting edge of modern Large Language Models (LLMs). Within Andriy's famous "hundred-page" format, readers will master both theoretical concepts and practical implementations, making it an invaluable resource for developers, data scientists, and Machine Learning engineers. Written in a hands-on style with working Python code examples, this book progressively builds your understanding from basic machine learning concepts to advanced language model architectures. All code examples run on Google Colab, making it accessible to anyone with a modern laptop. Readers should have programming experience in Python. While familiarity with PyTorch and tensors is helpful, it's not required. College-level math knowledge is beneficial, but the book presents mathematical concepts intuitively with clear examples and diagrams.

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