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Source channel @githubtrending · Post #14993 · Jul 24

#jupyter_notebook Retrieval Augmented Generation (RAG) helps large language models (LLMs) answer questions using up-to-date or private information by connecting them to external data sources, unlike fine-tuning which retrains the model on specific data. RAG is useful when you need current, dynamic information without costly retraining, making it ideal for tasks like customer support or knowledge management. Fine-tuning is better for deep expertise in a specialized field but requires more data and effort. Using RAG lets you get accurate, relevant answers quickly by combining the model’s language skills with fresh, specific data, improving usefulness and reliability. https://github.com/langchain-ai/rag-from-scratch

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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