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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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Venture Village Wall 🦄

@venturevillagewall · Post #3979 · 01/25/2025, 07:00 AM

Bitcoin Holdings Shift to Large Investors CryptoQuant analysts reveal that since Trump's election, large investors have increased Bitcoin holdings from 16.2M to 16.4M BTC, while smaller investors reduced their assets from 1.75M to 1.69M BTC. Notably, January 24 saw Bitcoin spot ETF net inflows of $518 million, marking seven consecutive days of inflow, with Fidelity ETF leading at $186 million. Total net assets in Bitcoin spot ETFs now stand at $123.058 billion. #Bitcoin#ETF#Crypto#Investors#Finance#Market#Trends#Assets#Fidelity#SpotETF#Trading#Solana#AllianceDAO#Clout#Dapps#Technology#Innovation#News#Analytics#Quant