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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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Host Testing and evaluation

@HostEvaluate · Post #801 · 07/25/2022, 02:31 AM

#Marbell#CH Host Provider: Marbell Location: Zurich, Switzerland Specification: 2vCore | 2GB RAM | 120GB SSD | 1TB @ 1Gbps | ~$3.90 / Mo Test IP: 185.203.41.129 https://paste.red/p/eb86d0e3ca29 匿名投稿。储存空间挺大的 m247 机房机器。他们家声称保证 100% uptime.

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