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Source channel @githubtrending · Post #14909 · Jul 3

#other#agent#llm#rag Happy-LLM is a free, open-source learning project that helps you deeply understand large language models (LLMs) from basics to advanced training and applications. It teaches you key concepts like NLP, Transformer architecture, pretraining, and how to build and train your own LLaMA2 model step-by-step. You also learn practical skills like fine-tuning and using cutting-edge techniques such as Retrieval-Augmented Generation (RAG) and intelligent agents. This project is ideal if you know some Python and deep learning, and it offers both theory and hands-on code to help you master LLM development and apply it in real-world AI tasks. This can boost your skills and confidence in AI model building and research. https://github.com/datawhalechina/happy-llm

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@githubtrending · Post #15268 · 11/04/2025, 12:00 PM

#go#blockchain#cloudvpn#golang#golang_library#holepunch#ipfs#ipfs_blockchain#kubernetes#libp2p#mesh#mesh_networks#nat#networking#p2p#p2pvpn#tunnel#vpn EdgeVPN lets you create secure, decentralized private networks using peer-to-peer (p2p) connections without relying on central servers. It can build a VPN that automatically assigns IPs, includes a small DNS server, and protects your network even if tokens leak. You can also use it as a reverse proxy to share TCP services or send files securely over p2p without a VPN connection. It works well for edge devices and development, especially behind NATs, and can be integrated into your own Go programs. This helps you connect devices easily and securely across different networks without complex setup or infrastructure. https://github.com/mudler/edgevpn