دانلود کتاب Hands-On Large Language Models 2024

Hands-On Large Language Models (2024) by Jay Alammar and Maarten Grootendorst offers a clear, practical introduction to how modern LLMs work and how developers can build, fine-tune, and deploy them. Jay Alammar and Maarten Grootendorst explain key concepts such as transformer architecture, embeddings, attention, pretraining, and prompt engineering, while connecting each idea to real-world use cases. The book focuses on making complex ideas intuitive, giving readers step-by-step guidance and hands-on examples that show how large language models can power search systems, chatbots, classifiers, and creative AI applications.

In the second half of Hands-On Large Language Models, Jay Alammar and Maarten Grootendorst explore advanced topics including retrieval-augmented generation, evaluation techniques, safety alignment, model compression, and cost-efficient deployment. They emphasize practical workflows for improving accuracy, reducing hallucinations, and integrating LLMs smoothly into production environments. By combining visual explanations with actionable engineering practices, Jay Alammar and Maarten Grootendorst provide a comprehensive roadmap for anyone aiming to build scalable, responsible, and high-impact AI systems¹.