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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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@ChainDoctor · Post #36 · 01/19/2022, 08:13 AM
#Anyswap#MultiChain Urgent notice from Multichai (formerly AnySwap) #WETH , #PERI , #OMT , #WBNB , #MATIC , #AVAX 6 tokens were found to be vulnerable If you approve, you need to connect to here ( https://app.multichain.org/#/approvals ) to cancel. 如果你曾经在anyswap使用过这六个代币跨链，那么请点击https://app.multichain.org/#/approvals ，并取消授权。已经有个人账户被攻击导致资金损失。