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LLMsForDisinformationAnalysis
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070aab6a5c7ed189f7c6ea75019dd06cc86e1a67
LLMsForDisinformationAnalysis
/
supporting
/
RAGAS_Service
T
History
William Jeynes
070aab6a5c
Actually we need to go the other way
2026-03-23 14:03:06 +00:00
..
.gitignore
Make the model less overfitting. Make it harder for an event to be classed as "perfect"
2026-03-18 01:05:24 +00:00
generate_adversarial2.py
Working on making the classifier harsher on unseen data
2026-03-17 22:19:03 +00:00
generate_adversarial.py
Refine scoring to allow for better iteration on frontend. Update generate_adversarial.py
2026-03-22 16:04:38 +00:00
prepare_data.py
Add initial version of ROBERTA classifier, add ability for multi pi charts
2026-03-11 22:02:31 +00:00
ragas_service.py
cleanup requirements.txt for ragas service
2026-02-09 21:45:56 +00:00
requirements.txt
Add initial version of ROBERTA classifier, add ability for multi pi charts
2026-03-11 22:02:31 +00:00
roberta_service.py
Add ROBERTA classifier ranking PoC, with 77pc off the bat
2026-03-13 11:24:51 +00:00
train_roberta.py
Actually we need to go the other way
2026-03-23 14:03:06 +00:00