Cómo Evaluar AI Agents: Comparación de 3 Frameworks
The article compares three frameworks for evaluating AI agents: Strands, PydanticAI, and DeepEval. It highlights that the choice of framework significantly affects evaluation scores, with differences of up to 40% due to their distinct methodologies. The piece also discusses the importance of dedicated evaluation libraries and the recent surge in research papers proposing new evaluation metrics.
- ▪The evaluation scores of AI agents can vary significantly based on the framework used.
- ▪Strands and PydanticAI provide transparent scoring by sending rubrics directly to the evaluation model.
- ▪DeepEval uses a research-backed technique called G-Eval to break down evaluations into chain-of-thought steps.
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