SEAR: Schema-Based Evaluation and Routing for LLM Gateways
📰 ArXiv cs.AI
SEAR is a schema-based evaluation and routing system for LLM gateways to assess production LLM responses and route requests across providers
Action Steps
- Define an extensible relational schema to cover LLM evaluation signals
- Implement fine-grained quality signals for production LLM responses
- Develop operationally grounded decisions for routing requests across providers
- Evaluate and refine the SEAR system for multi-model, multi-provider LLM gateways
Who Needs to Know This
AI engineers and researchers on a team can benefit from SEAR to improve the quality and reliability of LLM gateways, while product managers can use it to optimize routing decisions
Key Insight
💡 SEAR provides a systematic approach to evaluating and routing LLM responses, enabling more reliable and efficient LLM gateways
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🚀 Introducing SEAR: a schema-based evaluation and routing system for LLM gateways #LLM #AI
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