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Source channel @githubtrending · Post #15539 · Mar 5

#python#agent#llm#llm_agent#llm_reasoning#machine_learning_systems#mlsys#reinforcement_learning#rl AReaL is a free, open-source system for fast asynchronous reinforcement learning to train large AI models in math, coding, search, and agents. It decouples generation and training for up to 2.77x speedup, stable performance, and easy setup on single or 1000+ GPUs with algorithms like GRPO/PPO. Install via git/pip, run examples like GSM8K math instantly. You benefit by building top AI agents affordably and quickly, reproducing results with shared data/models, saving time/money vs. slow synchronous tools. https://github.com/inclusionAI/AReaL

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@ai_and_law · Post #469 · 12/20/2024, 08:04 AM

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YouTube Empowers Creators: AI Training Opt-In YouTube is giving content creators more control over how their videos contribute to AI development. A new “Third-Party Training” setting allows creators to explicitly authorize specific AI companies—currently 18 major tech players like OpenAI and Microsoft — to use their content for training generative AI models. Importantly, a video can only be eligible if both the creator and applicable rights holders, including those identified via Content ID, provide consent. Unauthorized scraping and content access remain strictly prohibited under YouTube’s Terms of Service. This marks a pivotal step toward balancing AI innovation and creator autonomy, as YouTube explores further collaborations between creators and AI developers. #AIRegulation#ContentOwnership#YouTube#GenerativeAI#DigitalRights

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