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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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@CryptoM · Post #64818 · 04/10/2026, 02:09 AM

🚀 STOCKS | Hong Kong Lithium Battery Stocks Surge Amid Market Volatility Hong Kong's lithium battery stocks experienced a notable surge, with several companies seeing significant gains. According to Jin10, Zhongchuang Xinhang (03931.HK), Ganfeng Lithium (01772.HK), and Tianqi Lithium (09696.HK) each rose by more than 5%. Additionally, CATL (03750.HK) increased by over 4.5%, while Tianneng Power (00819.HK) climbed more than 3.5%. This upward trend reflects a strengthening market sentiment towards lithium battery stocks in the region. #HongKong#LithiumBattery#Stocks#MarketVolatility#ZhongchuangXinhang#GanfengLithium#TianqiLithium#CATL#TiannengPower