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Source channel @githubtrending · Post #14926 · Jul 8

#jupyter_notebook#artificial_intelligence#book#large_language_models#llm#llms#oreilly#oreilly_books You can learn how to use Large Language Models (LLMs) effectively through the book *Hands-On Large Language Models* by Jay Alammar and Maarten Grootendorst. This book uses nearly 300 custom illustrations to explain key concepts and practical tools for working with LLMs, including tokenization, transformers, prompt engineering, fine-tuning, and advanced text generation. It also provides runnable code examples in Google Colab, making it easy to practice and apply what you learn. This resource helps you understand and build your own LLM applications confidently, saving you time and effort in mastering complex AI technology. It’s highly recommended for anyone wanting hands-on experience with LLMs. https://github.com/HandsOnLLM/Hands-On-Large-Language-Models

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djangoproject

@djangoproject · Post #533 · 12/21/2017, 02:21 PM

http://greenteapress.com/wp/modsimpy/ Free Book: #Modeling and #Simulation in Python Modeling and Simulation in Python is an introduction to physical modeling using a #computational approach. It is organized in three parts: The first part presents discrete models, including a bikeshare system and world population growth. The second part introduces first-order systems, including models of infectious disease, thermal systems, and chemical kinetics. The third part is about second-order systems, including mechanical systems like projectiles, celestial mechanics, and rotating rigid bodies.