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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 #15249 · 10/26/2025, 12:30 PM

#html#ech#fail2ban#http#mixed#ml_dsa_65#ml_kem_768#post_quantum#reality#shadowsocks#shadowsocks2022#tls#trojan#tunnel#vless#vmess#wireguard#x25519#xtls_rprx_vision#xtls_rprx_vision_udp443 3X-UI is an easy-to-use, open-source web control panel for managing Xray-core VPN servers. It supports many VPN protocols like VMess, VLESS, Shadowsocks, Trojan, and WireGuard, letting you configure, monitor traffic, manage users, and set limits through a simple web interface. It includes features like automatic SSL certificates, traffic statistics, multi-user support, and security options such as firewall rules and IP bans. This makes managing VPN servers faster, more secure, and accessible even if you are not an expert, helping you control your VPN setup efficiently and safely. https://github.com/MHSanaei/3x-ui