MiroMind

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MiroMind is an open-source AI initiative dedicated to developing Predictive Large Models as the foundation for safe, evolving, and community-driven artificial intelligence. Its mission is to create agentic systems capable of reasoning, predicting, and collaborating with humans in complex environments. Key Features and Functionality: - MiroFlow Framework: A high-performance, cost-effective open-source framework that enhances large language models (LLMs) to achieve state-of-the-art capabilities in research tasks. It supports reproducible performance across various benchmarks and efficiently handles complex tool-use tasks. - MiroThinker Model: An open-source model designed to natively support tool-assisted reasoning, enabling advanced research agent functionalities. It delivers top performance in benchmarks like GAIA. - MiroVerse Data: A comprehensive dataset comprising 147,000 open-source training data points, facilitating the training of research agents. The dataset is regularly updated to incorporate high-quality data. - MiroTrain and MiroRL Training Infrastructure: These components support stable and efficient training processes for research agent models, covering the entire training pipeline and supporting long-text and reinforcement learning training with tools. Primary Value and User Solutions: MiroMind addresses the need for accessible, high-performance AI research tools by offering a fully open-sourced ecosystem that includes frameworks, models, data, and training infrastructure. This initiative empowers developers and researchers to build and deploy advanced AI agents capable of complex reasoning and prediction tasks. By fostering a collaborative community environment, MiroMind ensures continuous improvement and adaptation of its tools, enabling users to efficiently tackle intricate research challenges and contribute to the evolution of artificial intelligence.