#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
🟢PEPE trading volumes surge 3X from start of May just days after ATH
⚡️Pepe’s price has slid 12% since reaching all-time highs, but trading volume has surged by 216%, indicating heightened interest from traders.
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👀Educational content, charity and newcomer-friendly tools: An insightful look into the inner workings of a global crypto exchange.
🛡Learn how BingX diverse trading options can help you manage risks and capitalize on opportunities.
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⚡️💰Ethereum ETFs — 3 pitches that could hook Wall Street
✔️Ethereum is already home to the world’s largest DeFi protocols, tokenized RWAs, and stablecoins, but its technical roadmap could be hard for TradFi to understand.
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❗️Crypto news in the past 24 hours:
🔄 Memecoin mania sees Cardano knocked out of the top 10 crypto rankings
📈 Crypto market to hit $200T within 10 years — Animoca co-founder
😮 Iggy Azalea’s MOTHER memecoin triumphs over scandal-ridden IGGY
🔝 Cristiano Ronaldo unveils NFT series with Binance capturing career highlights
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