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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 #4053 · 02/02/2025, 07:00 PM

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Bitcoin Mirrors 2015-2018 Market Cycle 📈 A new report from *Glassnode* outlines parallels between Bitcoin's current bullish trend and the 2015-2018 market cycle. Key insights include: - Price retracements align with Fibonacci thresholds of 10.1%-23.6%. - Current capital inflows doubled, but below the previous cycle's peak. - Centralized exchanges have seen reserves drop from 3.1M BTC to 2.7M BTC. - 1.1M BTC shifted from long-term to short-term wallets during price ascent. While Bitcoin's macro trend is bullish, cautions arise about distribution phases preceding waning demand. Historical patterns suggest potential market stability ahead. Full report here #Bitcoin#MarketCycle#Crypto#Finance#Investment#BullMarket#Glassnode#Fibonacci#BTC#Trading#Economy#Reserves#ETF#InvestorBehavior#Liquidity#PriceAction#Trends#Analytics#Research#CapitalInflows#LongTermInvestors#ShortTermInvestors