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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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Libreware

@libreware · Post #1583 · 05/04/2026, 03:28 PM

FaceTime Without the Internet | Data Slayer FaceTiming without Apple... I tested whether consumer apps like FaceTime, Signal, WhatsApp, and Zoom work on an off-grid #HaLow#mesh#network with zero internet. The key discovery: FaceTime and Signal connect peer-to-peer if they can find each other on any local network — Apple's servers aren't in the loop. The climax was a two-car highway test where Emilia and I held a FaceTime call at 70 mph, bridged only by Haven nodes and sub-gigahertz antennas. The conclusion: the "loophole" isn't a hack — it's the original peer-to-peer design we forgot about once we handed the internet to five companies. #MeshNetwork#OffGrid#P2P