#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
#mdx
This free interactive course teaches Product Managers to use Claude Code for daily tasks like processing notes, writing PRDs, analyzing data, and strategy planning through hands-on modules (4-6 hours). Clone the repo, run `claude`, and follow guided lessons with agents and file tools—no setup needed yet. You'll work faster, get instant multi-perspective feedback, and boost productivity without quality loss.
https://github.com/carlvellotti/claude-code-pm-course
#MDX result
1 and 2 target achieved in just 1 house 21 minutes ✅
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