Mind DeepResearch Technical Report

1. 1Build a collaborative three-agent architecture using a Planning Agent, DeepSearch Agent, and Report Agent
2. 2Configure a four-stage agent-specialized training pipeline for multi-agent deep research
3. 3Apply data synthesis techniques to improve model performance
4. 4Test the Mind DeepResearch framework on a dataset to evaluate its efficiency
5. 5Compare the results with other state-of-the-art models to assess its leading performance

Researchers and engineers working on multi-agent systems and deep learning models can benefit from this report, as it presents a novel framework for efficient deep research

💡 A meticulously designed data synthesis and multi-stage training pipeline can significantly improve the performance of deep research models

Mind DeepResearch achieves leading performance with 30B-parameter models using a collaborative three-agent architecture #MindDR #MultiAgentSystems