@informavore_log · Post #3421 · 05/17/2023, 04:30 AM
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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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@informavore_log · Post #3421 · 05/17/2023, 04:30 AM
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@informavore_log · Post #4022 · 06/05/2024, 02:49 PM
法語和德語,哪個更值得學?哪個比較適合中文母語者 ? #YouTube#liked
@informavore_log · Post #4021 · 06/05/2024, 02:49 PM
破除中华文化沙文主义,如何较客观评价中华文明是否优秀? • 老中世界去魅05 | 审时煮茶 #YouTube#liked