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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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@githubtrending · Post #15390 · 01/05/2026, 11:30 AM

#c_lang#drone#esp32#quadcopter ESP-Drone is an open-source project using ESP32 chips to build a simple Wi-Fi drone you control with a phone app or gamepad. It offers stabilize, height-hold, and position-hold modes (with extensions), plus clear code for STEAM education, based on Crazyflie firmware. You benefit by easily making a cheap ($30-50), lightweight drone in 6-8 hours for fun indoor flights, learning electronics like sensors and motors, and customizing with open code—no extra radio needed. https://github.com/espressif/esp-drone