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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 #65443 · 04/13/2026, 09:04 AM

🚀 Investor Shifts Focus from Oil to U.S. Stock Market On April 13, Hyperinsight reported that the largest holder of short positions in crude oil on Hyperliquid, identified as address 0xa65, closed their loss-making positions last week and briefly attempted to go long in an effort to capitalize on a market bottom. According to BlockBeats On-chain Detection, the investor subsequently closed these positions and exited the oil market entirely. The investor has now shifted their focus to the U.S. stock market, specifically the storage sector. They have retained two long positions opened earlier this month in Micron Technology (MU) and SanDisk (SNDK), with a total holding size of $5.4 million. The current floating profit from these positions has reached $1.15 million. #Investor#OilMarket#USStockMarket#MicronTechnology#SanDisk#Investing#StockMarket#Finance#MarketShift#Hyperliquid#BlockBeats