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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 #65085 · 04/10/2026, 10:56 PM

🚀 Offchain Labs Co-Founder Ed Felten on the Future of Layer 2s Amid Ethereum's Mainnet Scaling Offchain Labs co-founder Ed Felten expressed confidence in the continued relevance of layer 2 solutions like Arbitrum, even as Ethereum focuses on scaling its mainnet. According to NS3.AI, Felten highlighted that layer 2s can maintain their competitiveness by providing faster response times, reduced block times, and increased throughput. #OffchainLabs#EdFelten#Layer2#Ethereum#Arbitrum#Scaling#Blockchain#NS3AI#Throughput#ETH#ARB