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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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SpotOnChain | Announcement

@spotonchain · Post #627 · 12/27/2023, 01:51 AM

🚨 Early buyer 0x808 deposited 30K $AAVE ($3.08M) to #Coinbase and #OKX via #Cumberland at $102.7 ~4hrs ago. Notably, the whale used only 500K $USDC to buy 12.5M #LEND (later converted to 125K $AAVE) at $0.04 back in May 2020. And has only sold 30.9K $AAVE ($3.15M) via DEX, Coinbase, and OKX at $101.7 on avg so far. Current holding: 100K $AAVE ($10.2M). Estimated total profit: $12.85M! 👉 More details: https://platform.spotonchain.ai/en/signal-details/early-buyer-deposited-aave-to-exchanges-14545