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Source channel @githubtrending · Post #14909 · Jul 3

#other#agent#llm#rag Happy-LLM is a free, open-source learning project that helps you deeply understand large language models (LLMs) from basics to advanced training and applications. It teaches you key concepts like NLP, Transformer architecture, pretraining, and how to build and train your own LLaMA2 model step-by-step. You also learn practical skills like fine-tuning and using cutting-edge techniques such as Retrieval-Augmented Generation (RAG) and intelligent agents. This project is ideal if you know some Python and deep learning, and it offers both theory and hands-on code to help you master LLM development and apply it in real-world AI tasks. This can boost your skills and confidence in AI model building and research. https://github.com/datawhalechina/happy-llm

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AI & Law

@ai_and_law · Post #533 · 03/25/2025, 08:04 AM

🇺🇸No Copyright for AI-Generated Art, U.S. Court Rules A U.S. federal appeals court has reaffirmed that AI-generated works cannot be copyrighted unless a human is involved in their creation. The case, brought by computer scientist Stephen Thaler, challenged the U.S. Copyright Office’s longstanding position that only human authorship qualifies for copyright protection. Thaler had sought copyright for a painting fully created by his AI system, the “Creativity Machine,” but the court rejected the claim, emphasizing that AI itself cannot be the author. This ruling leaves open critical questions about AI-assisted creativity. The court clarified that human authors can register works made "with the assistance" of AI, but did not define where the boundary lies between AI-assisted and AI-generated content. As AI plays an increasing role in creative industries, this legal gray area could shape the future of copyright law. Thaler plans to continue his legal fight, potentially bringing the case to the Supreme Court. #AI#CopyrightLaw#AIGovernance#CreativeAI#Ethics

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@neuro_ver · Post #121 · 12/17/2024, 04:53 AM

Меньше недели я потратил на изучение генеративных моделей, и вот что уже получается. Задумка, усидчивость и терпение, конечно, важны. Результат может быть невероятным. #AIVideo#GenerativeAI#RunwayML#AIContent#PikaLabs#CreativeAI#ContentCreation#TechInnovation#DigitalArt#FutureOfContent