Evaluation run creation
Section 4: Evaluating the Workflow Outputs
In this section, we'll apply the evaluation metrics established in Section 1 to the answers generated by the workflows implemented in Section 3. By evaluating the outputs from both the perfect and imperfect workflows, we'll assess the effectiveness of our metrics and gain insights into the performance of each workflow.
Objectives
Assess Answer Quality: Determine how well each workflow's answers align with the ground truth.
Test Evaluation Metrics: Verify that the metrics accurately identify and score differences in answer quality.
Analyze Results: Understand the strengths and weaknesses of each workflow based on evaluation scores.
Improve Workflows: Identify areas for refinement to enhance the quality of future outputs.
Congratulations on completing the evaluation of your workflows! You're now well-equipped to enhance your AI systems and ensure they meet the highest standards of quality. 🚀
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