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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 & Law

@ai_and_law · Post #348 · 07/09/2024, 07:04 AM

European Commission's AI Codes of Practice: A Self-Regulation Concern? According to Euractiv, the European Commission plans to let AI model providers draft codes of practice for compliance with the AI Act, with civil society organizations consulted during the process. This approach has sparked concerns about industry self-regulation, as these codes will serve as compliance measures for general-purpose AI models until harmonized standards are set. The Commission may grant EU-wide validity to these codes through an implementing act. Some civil society members worry this could enable Big Tech to essentially write their own rules. The AI Act's language on stakeholder participation in drafting these codes is ambiguous. The Commission has stated that an upcoming call for expressions of interest will clarify how various stakeholders, including civil society, will be involved. However, specifics are still lacking. An external firm will be hired to manage the drafting process, including stakeholder engagement and weekly working group meetings. The AI Office will oversee the process but will primarily focus on approving the final codes. #AIRegulation#EUCommission#AICodes#AIAct#Compliance