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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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@singsingchannel · Post #1127 · 12/23/2024, 07:11 AM
🔥 Another 121,343 $SING has been burned! 🔥 💨 Reducing supply, increasing value—step by step, we're building a stronger $SING ecosystem. ✔️Check out details: https://bscscan.com/tx/0xb3fac74c5744b68eee62ffa0efbdbe909ec4e719c2b644315a082c32a3aa9634 Stay tuned for more updates! 🚀 #SingSing#TokenBurn#Deflation
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@venturevillagewall · Post #4114 · 02/10/2025, 01:00 PM
Ethereum: Potential Shift to Trustworthy Money Ethereum could become ‘ultra-secure’ money as supply decreases, claims developer Justin Drake. Post-Dencun, emissions stats: 657,000 BTC vs. 469,000 ETH ($63.4B vs. $1.23B). Bitcoin miners rely on crypto mining; commission share at only 1%. Safety concerns may arise as mining becomes less viable. Halvings could worsen security issues. Read more: ForkLog #Ethereum#Bitcoin#Crypto#Mining#Finance#Deflation#JustinDrake#Dencun#ETH#BTC#Blockchain#Investing#Decentralization#PoS#Halving#Security#MarketTrends#Emissions#DigitalAssets#RiskManagement#Cryptocurrency