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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
Search: #longposition
@CryptoM · Post #65213 · 04/12/2026, 02:59 AM
🚀 Bitcoin Long Position Closure Results in $192,000 Loss for Machi Big Brother Machi Big Brother recently closed a Bitcoin long position, incurring a loss of $192,000 following a market downturn. According to NS3.AI, this closure marked the end of a 13-win streak for the investor. #Bitcoin#LongPosition#Loss#MachiBigBrother#MarketDownturn#NS3AI#Investment#BTC
@CryptoM · Post #64987 · 04/10/2026, 12:57 PM
🚀 Major BTC Long Position Liquidated on Hyperliquid Platform In the last 10 minutes, a significant BTC long position was liquidated on Hyperliquid, according to ChainCatcher. The position, held by the entity identified as 0x1e9, was closed at a price of $71,463, resulting in a substantial sell order. The position was initially opened today at 6 a.m. UTC+8, when BTC was trading above $72,000. It involved 247 BTC, equivalent to approximately $17.65 million. As the price declined, the holder opted for a rapid stop-loss exit, incurring a loss of about $180,000. #BTC#longposition#liquidation#Hyperliquid#ChainCatcher#cryptocurrency#BTCprice#stoploss#cryptotrading#loss