assistance-engine/scratches/pseco/synthetic_dataset/reward_algorithms
pseco 56349184fb Add evaluation results for AVAP knowledge models and update evaluation notebook
- Created a new JSON file containing evaluation results for the AVAP knowledge models, including scores for faithfulness, answer relevancy, context recall, and context precision.
- Updated the evaluation notebook to use a new embedding model and fixed execution counts for code cells.
2026-04-06 11:55:33 +02:00
..
generate_mbap_v2.py Add evaluation results for AVAP knowledge models and update evaluation notebook 2026-04-06 11:55:33 +02:00
n00 Histogram.ipynb Refactor code structure for improved readability and maintainability 2026-03-27 14:09:18 +01:00
n01 KL Divergence.ipynb Refactor code structure for improved readability and maintainability 2026-03-27 14:09:18 +01:00
n03 HeatMap.ipynb Update default dataset path in validate_synthetic_dataset.py to point to new output location 2026-03-30 10:04:28 +02:00