Evaluation framework

[luandro]

To improve the effectiveness of our current setup, we need to implement an evaluation framework using Langtrace to observe and measure the quality of our plugin integration and intent classification module. This framework will allow us to systematically annotate, evaluate, and compare system outputs, providing clear insights into areas for improvement.

Should leverage a structured, reliable framework to evaluate and compare the effectiveness of our plugin and intent classification modules, ensuring continuous improvement and alignment with user needs.

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Implementation Plan:

1. Define Annotation Metrics

   • Use Langtrace’s annotation feature to specify the metrics we want to track, focusing on plugin interactions and intent classification accuracy.
   • Metrics may include:
     • Accuracy of intent recognition
     • Success rate of plugin activation based on intent
     • User satisfaction ratings (if available)

   Documentation: Refer to Annotations

2. Setup Evaluation Framework

   • Configure the Langtrace evaluation system to monitor ongoing interactions.
   • Create a set of benchmark evaluations to assess baseline performance.
   • Enable continuous evaluation to track real-time performance and identify potential drift in accuracy or functionality.

   Documentation: Refer to Evaluations

3. Implement Comparison for Iterative Improvements

   • Set up Langtrace's evaluation comparison tool to assess differences between iterations or versions of our plugin and intent classification module.
   • Use the comparison results to guide updates and modifications.

   Documentation: Refer to Compare Evaluations

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Tasks:

• Define Annotation Metrics

  • List key metrics relevant to plugin performance and intent classification.
  • Implement annotation configuration in Langtrace for selected metrics.

• Setup Evaluation Instances

  • Initialize evaluation instances in Langtrace.
  • Establish baseline metrics for comparison.
  • Implement continuous evaluation monitoring.

• Configure Evaluation Comparison

  • Set up comparison parameters for iterative releases.
  • Document initial results and identify areas for improvement.

• Document Findings & Next Steps

  • Summarize findings after initial setup.
  • Plan for ongoing iteration and improvement based on evaluation insights.