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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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@kejiqu · Post #4275 · 03/19/2026, 10:28 AM

澳大利亚研究人员开发量子电池概念验证,利用激光实现近乎即时的充电——研究人员表示,这项突破未来或将为电动汽车和无人机带来超快速无线充电。 澳大利亚研究人员日前展示了一种量子电池的概念验证,该电池利用激光技术实现近乎即时的充电。研究团队表示,该突破性技术未来可能为电动汽车(EVs)和无人机等设备带来超快速的无线充电解决方案。该量子电池利用激光进行充电,其快速充电能力是该研究的关键发现。目前,该技术仍处于概念验证阶段,但预示着未来能源存储和传输的潜在变革。Tom's Hardware 🏷#Quantum#battery#Lasers#Wireless#charging 📢频道👥群组📝投稿