FlowReasoner is a new system that builds a custom set of small AI agents for every user question. Unlike search based methods it uses reasoning driven optimization with external execution feedback. 
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FlowReasoner is a new system that builds a custom set of small AI agents for every user question. Unlike search based methods it uses reasoning driven optimization with external execution feedback. 
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✅ First, it distills reasoning data using DeepSeek R1-671B to build multi agent systems. 🤖
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✅ First, it distills reasoning data using DeepSeek R1-671B to build multi agent systems. 🤖
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✅ Then, reasoning data used for DeepSeek-R1-Distill-Qwen-7B via supervised fine tuning for basic reasoning skills. 💡
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✅ Then, reasoning data used for DeepSeek-R1-Distill-Qwen-7B via supervised fine tuning for basic reasoning skills. 💡
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✅ Finally, RL with GRPO (optimizes by comparing response groups from queries/tasks) to improve reasoning.
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✅ Finally, RL with GRPO (optimizes by comparing response groups from queries/tasks) to improve reasoning.
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FlowReasoner: Reinforcing Query-Level Meta-Agents (2504.15257)
https://huggingface.co/papers/2504.15257
2504.15257
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https://huggingface.co/papers/2504.15257
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Code: 
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Code: 
https://github.com/sail-sg/flowreasoner
https://github.com/sail-sg/flowreasoner
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FlowReasoner is a new system that builds a custom set of small AI agents for every user question. Unlike search based methods it uses reasoning driven optimization with external execution feedback. 

✅ First, it distills reasoning data using DeepSeek R1-671B to build multi agent systems. 🤖
✅ Then, reasoning data used for DeepSeek-R1-Distill-Qwen-7B via supervised fine tuning for basic reasoning skills. 💡
✅ Finally, RL with GRPO (optimizes by comparing response groups from queries/tasks) to improve reasoning.

https://huggingface.co/papers/2504.15257
Code: https://github.com/sail-sg/flowreasoner
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