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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 #65139 · 04/11/2026, 11:24 AM

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🚀 Bitcoin Futures Open Interest Hits 14-Month Low Amid Institutional Strategy Shift On April 11, the open interest in Chicago Mercantile Exchange (CME) Bitcoin futures fell to $8.41 billion, marking its lowest level in 14 months. According to BlockBeats, Glassnode analysts attribute this decline primarily to the unwinding of basis trades. Previously, this strategy involved establishing long positions through spot ETFs and hedging with short futures to earn the spread. However, the annualized returns have recently dropped from 15%-20% to around 5%, prompting institutions to take profits. Additionally, the daily trading volume of CME Bitcoin futures has decreased to below $3 billion. Analysts suggest that as institutional demand shifts towards directly holding spot assets, the leverage in the futures market is significantly decreasing. #BitcoinFutures#OpenInterest#CME#BasisTrades#InstitutionalStrategy#SpotETFs#FuturesMarket#Leverage#TradingVolume#BlockBeats#Glassnode#CryptoMarket#BTC

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