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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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@botsgram_cu · Post #3239 · 12/04/2020, 06:35 PM
@XtremBot Qué puede hacer este bot? Este bot tr brinda mejoras geniales para grupos. Analiza hashtags, polos, audio de voz, etc. y proporciona información más interesante! Idioma: Inglés (visto en @BotsGram_cu) #hashtag, #information, #group, #management, #administration, #pole, #message, #ping, #benchmark