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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 #718 · 02/05/2021, 09:51 AM

HostProvider: Hostsolutions (NVMe) Specification: 2Core E5-2680v4 | 2G DDR4 | 50G NVMe Network: 15T@1Gbps Test IP: 45.14.149.1 Price: €4.05 / Quarterly #RO#Hostsolutions#M247 https://paste.ubuntu.com/p/pYmjPncfbS/ 仅联通绕美,性能相比其他产品确实好得多。性价比非常高。