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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 #65336 · 04/13/2026, 12:34 AM

🚀 Bitcoin Faces Liquidity Challenges Amid Economic Indicators Bitcoin may face liquidity challenges, according to Delphi Digital's analysis. According to PANews, February's PCE data indicated a weakening in U.S. consumer spending even before the impact of the Iran conflict. Income levels have contracted, and real spending has shown almost no growth. Subsequently, March's CPI recorded a 3.3% increase, with energy accounting for three-quarters of the rise. The U.S. Leading Economic Index (LEI) is declining, typically leading real yields by about six months. The last occurrence of such a scenario was in 2022, when tight monetary policy coincided with an energy shock, resulting in Bitcoin's correlation with real yields turning deeply negative. #Bitcoin#LiquidityChallenges#EconomicIndicators#PCE#CPI#ConsumerSpending#USEconomy#LEI#RealYields#MonetaryPolicy#EnergyShock#BTC