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Source channel @githubtrending · Post #14717 · May 18

#jupyter_notebook Learning about Large Language Models (LLMs) can be very beneficial. You can build exciting projects over eight weeks, starting with simple tasks and moving to more complex ones. This journey helps you develop deep expertise in AI and LLMs. You'll learn by doing hands-on projects, which is a fun and effective way to understand how these models work. By the end, you'll have skills that can be used in real-world applications, making it a valuable learning experience. https://github.com/ed-donner/llm_engineering

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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