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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 #3744 · 12/29/2024, 01:00 PM

Five Predictions for On-Chain 2025 Key predictions for 2025 include: 1️⃣ DEX/CEX monthly volume ratio to surpass 20% 2️⃣ One AI agent token projected to hit $10 billion 3️⃣ Emergence of 3-5 new vertical launch tracks based on Pump Fun 4️⃣ At least 5 base tokens expected to be listed on Binance Spot 5️⃣ Hyperliquid to generate over $1 billion in spot opportunities. For details, read more here from Wu Blockchain News. #AI#Crypto#VC#DEX#CEX#Binance#Altcoins#Investments#Token#SpotMarket#VolumeRatio#Blockchain#Predictions#EmergingTrends#Startups#Hyperliquid#PumpFun#MarketOpportunities