Amazing work by the team! Looks like they've traded accuracy for speed and this is most likely going to be the case with the next class of models.

This is a valid tradeoff for one-off responses but if we're dealing with a distributed system (eg: Kafka), then only the high-confidence responses (>0.8) should move forward as input to the next service. If a low confidence output is propagated, then it can break the entire chain.