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Description
if domain_model poorly classified text, we should retrain that model based on LLM response, so in future it could process similar texts better.
initial implementation plan:
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if confidence of
domain_model< threshold, store to db following:
text,domain_modelconfidence,domain_modelresult (grade), LLM confidence, LLM result -
prepare a scheduled job, that will take all failed classifications from DB, and retrain
domain_modelbased on it
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