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Source channel @githubtrending · Post #14926 · Jul 8

#jupyter_notebook#artificial_intelligence#book#large_language_models#llm#llms#oreilly#oreilly_books You can learn how to use Large Language Models (LLMs) effectively through the book *Hands-On Large Language Models* by Jay Alammar and Maarten Grootendorst. This book uses nearly 300 custom illustrations to explain key concepts and practical tools for working with LLMs, including tokenization, transformers, prompt engineering, fine-tuning, and advanced text generation. It also provides runnable code examples in Google Colab, making it easy to practice and apply what you learn. This resource helps you understand and build your own LLM applications confidently, saving you time and effort in mastering complex AI technology. It’s highly recommended for anyone wanting hands-on experience with LLMs. https://github.com/HandsOnLLM/Hands-On-Large-Language-Models

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Crypto M - Crypto News

@CryptoM · Post #65264 · 04/12/2026, 12:12 PM

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🚀 XRP's Triangle Breakout Sets $2.59 Price Target, Analyst Says Crypto analyst Dark Defender has highlighted a potential price target of $2.59 for XRP following its weekly triangle breakout. According to NS3.AI, Dark Defender noted that the cryptocurrency could find support at key Fibonacci levels of $1.31 and $1.37, provided it maintains its position above the previous resistance. #XRP#TriangleBreakout#PriceTarget#Crypto#DarkDefender#Fibonacci#NS3AI#Cryptocurrency

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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