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Source channel @githubtrending · Post #14926 · Jul 8

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#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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Host Testing and evaluation

@HostEvaluate · Post #811 · 08/11/2022, 04:45 AM

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#SYM#TW Host Provider: SYM Specification: 1vCore | 1G RAM | 20G SSD | 20TB @ 300Mbps down; 100Mbps up | $ 18 / Mo (Promo code: 88-10-300M) 感谢商家提供的测试机。hinet vps, 月 50% SLA 保障。PayPal 和支付宝老用户审核才可使用。要实名. 更多折扣码 https://paste.red/p/0ead2349a779

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Host Testing and evaluation

@HostEvaluate · Post #746 · 01/25/2022, 03:45 PM

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#TW#SYM Host Provider: SYM Location: Kaohsiung, Taiwan Specification: 1vCore | 1G RAM | 30G Storage | Unlimited @ 100M up, 300M down | $15 / Month Test IP: Contact @wartw https://paste.ubuntu.com/p/xft3b5ypTm/ 硬盘应该是 HDD

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