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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 #65374 · 04/13/2026, 03:00 AM

🚀 Hyperithm's Oil Short Positions Experience Rapid Losses Analyst @ai_9684xtpa posted on X that Hyperithm's oil short positions have seen significant changes in just one day. Initially, these positions had a floating profit of $5.886 million, but they have now turned into a floating loss of $2.1 million. The CL short position, valued at $37.88 million, was opened at a price of $95.211 and currently has a floating loss of $1.402 million. Meanwhile, the BRENTOIL short position, valued at $35.17 million, was opened at a price of $95.986 and is experiencing a floating loss of $620 thousand. Currently, the address holds the largest leveraged position in Hyperliquid BRENTOIL and the third-largest leveraged position in CL. #Hyperithm#oil#shortpositions#floatingloss#CL#BRENTOIL#leveragedposition#Hyperliquid#analyst