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Source channel @githubtrending · Post #14737 · May 22

#other This book provides a systematic introduction to large language models (LLMs), covering topics like traditional language models, LLM architectures, prompt engineering, efficient parameter tuning, model editing, and retrieval-enhanced generation. It aims to be easy to read and rigorous, with monthly updates and a list of relevant papers. The book helps readers understand LLMs' principles and applications, making it beneficial for those interested in AI and NLP. It offers a structured learning path, which is useful for both beginners and advanced learners. https://github.com/ZJU-LLMs/Foundations-of-LLMs

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The Digi Doodles

@Digi_doodles · Post #622 · 08/01/2025, 10:02 AM

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WeTransfer’s AI Terms: Are Artists Losing Control?🃏 July 28, 2025 · The Art Newspaper A quiet shift with loud consequences. 👂 WeTransfer has updated its terms of service to allow the use of uploaded files for AI training — sparking concern among digital artists and creatives. While the platform claims “anonymized and aggregated” data use, critics warn this could jeopardize intellectual property. What’s at stake: — Artists may unknowingly feed generative AI tools — Lack of opt-out or clear consent for creative works — Questions around ownership, credit & ethics Another wake-up call in the ongoing conversation around AI, authorship, and data rights📖 #AIArt#DigitalRights#WeTransfer#ArtAndTech#DataEthics

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