How to write a great agents.md: Lessons from over 2,500 repositories

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This new research from Meta introduces Matrix, a peer-to-peer framework where multiple AI agents collaboratively generate synthetic training data through decentralized interactions.

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Python for Data Analysis

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Stabilizing Reinforcement Learning with LLMs: Formulation and Practices

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CUDA-L2: Surpassing cuBLAS Performance for Matrix Multiplication through Reinforcement Learning

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"TokenPowerBench: Benchmarking the Power Consumption of LLM Inference"

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