Enhanced AI Evaluation Schema Implementation

📅 2024-10-05 — Session: Enhanced AI Evaluation Schema Implementation

🕒 15:40–17:05
🏷️ Labels: AI, Evaluation, Schema, Python, Openai
📂 Project: Dev
⭐ Priority: MEDIUM

The goal of this session was to update and enhance the AI evaluation schema to improve the clarity and structure of evaluations.

Updated the evaluation process to group evaluations by group names rather than chunk numbers.
Modified the rubric evaluation schema to include a ‘group_name’ field.
Implemented batch evaluation of notebooks in a chunk directory.
Adjusted the schema to allow multiple evaluations for different groups in a single pass.
Improved the get_consigna_schema function to enhance error handling and schema access.
Developed a Python function to extract specific Consigna_x schema from evaluations.
Proposed and implemented schema modifications to add justification fields alongside traffic light values for each criterion.

Successfully updated the AI evaluation schema and related functions to enhance the evaluation process.
Improved error handling and schema access in the get_consigna_schema function.
Enabled more detailed feedback in evaluations through the addition of justification fields.

Further testing of the updated schema and functions in a production environment to ensure robustness and accuracy.