Team of Thoughts: Efficient Test-time Scaling of Agentic Systems through Orchestrated Tool Calling
📰 ArXiv cs.AI
Team-of-Thoughts framework enables efficient test-time scaling of agentic systems through orchestrated tool calling
Action Steps
- Identify diverse pre-trained models with specialized expertise
- Implement Orchestrator Calibration to select models with superior performance
- Integrate models within the Team-of-Thoughts framework using orchestrated tool calling
- Evaluate and refine the system for efficient test-time scaling
Who Needs to Know This
AI engineers and researchers on a team can benefit from this framework as it allows for the integration of diverse models, while product managers can leverage it to improve system scalability and efficiency
Key Insight
💡 Heterogeneous Multi-Agent Systems can outperform homogeneous configurations by leveraging diverse model expertise
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