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AReal
Lightning-Fast RL for LLM Reasoning and Agents. Made Simple & Flexible
...AReal is designed for large reasoning and agentic models. It works with models that perform reasoning over multiple steps, agents interacting with environments. It is developed by the AReaL Team at Ant Group (inclusionAI) and builds upon the ReaLHF project. Release of training details, datasets, and models for reproducibility. It is intended to facilitate reproducible RL training on reasoning / agentic tasks, supporting scaling from single nodes to large GPU clusters. It can streamline the development of AI agents and reasoning systems. ... -
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Implementation of Artificial Inteligence algorithms in python: - Ant Colony Optimization - Greed Algorithm
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