Iterative Model Validation Methodology
Model comparison test for code-free updates via Bifrost:
- Support for proportional distribution of requests by traffic (e.g., 90% old model/10% new model)
- Automatically record response quality and performance metrics for each release
- Provide comparison report generation function, including time-consuming/cost/effective multi-dimensional analysis
Operational Processes:
- Create an experiment group on the Test Configuration page
- Setting up triage ratios and monitoring metrics (prompt response time, satisfaction scores, etc.)
- Comparison Dashboard Data for Analytics Console
Typical benefits: New product go-live evaluation cycle is shortened from 2 weeks to 3 days, and no development intervention is required. Risks of new models can be effectively controlled through gray-scale releases.
This answer comes from the articleBifrost: A High Performance Gateway for Connecting Multiple Large Language ModelsThe
May not be reproduced without permission:AI productivity tools " How to quickly implement A/B testing for old and new large language models?
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