NVIDIA Paper AgentBaton Tackles Efficient Multi-Model Collaboration in Agentic Tasks
_akhaliq · x · 2026-11-10
NVIDIA Research published AgentBaton: Efficient Model Collaboration in Agentic Tasks, a paper on efficiently orchestrating multiple models within a single agentic task—letting lighter models handle easy steps and reserving capable models for hard ones to cut inference cost. The paper page is live on Hugging Face, with the project hosted at NVIDIA Research. A key open question raised in comments: what signal tells the system it's time to hand the task back to the expensive model.
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