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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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Crypto M - Crypto News

@CryptoM · Post #65270 · 04/12/2026, 01:09 PM

🚀 StarkWare Researcher Proposes Complex Bitcoin Transaction Scheme StarkWare researcher Avihu Mordechai Levy has introduced a Bitcoin transaction scheme that aims to circumvent the need for a protocol change. According to NS3.AI, the proposed method involves solving a pre-broadcast puzzle, which would necessitate approximately 70 trillion attempts. Levy characterized this design as a last-resort solution due to its significant computational demands, large transaction size, and potential relay-policy challenges, all of which could hinder scalability. #StarkWare#Bitcoin#transaction#AvihuMordechaiLevy#protocol#computationaldemands#scalability#relaypolicy#BTC