Systematic Optimization Program
The Future AGI platform offers a complete cue word optimization workflow:
- Multi-version comparison test: in
ExperimentThe interface deploys 3-5 cue word variants at the same time, and the system automatically runs parallel tests and generates a comparison report with response quality/stability/cost dimensions. - Iteration based on assessment: the platform's built-in
EvaluateThe module supports the definition of evaluation criteria in natural language (e.g., "Require responses to contain at least 3 supporting data points"), with quantitative scores given automatically after each modification. - Sensitive word filtering::
ProtectFunction detects ambiguous expressions or potentially harmful instructions in cue words to avoid model bias due to poor-quality inputs
best practice
It is recommended that a "three-layer optimization approach" be adopted: first, through theDatasetmodule to generate 100+ test cases and then use the自动优化The functionality is optimized at the base and finally manually fine-tuned for the top 101 TP3T failures. Data from the platform shows that the method improves the output quality score of 381 TP3T on average.
This answer comes from the articleFuture AGI: Observability and Evaluation Platform for AI ApplicationsThe
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