It would get sent to our team of analysts, and eventually my team to figure out. After a long back-and-forth, we’d conclude there’s probably a deficiency in the training data, the model, or business logic wrapping the model.
Don’t be afraid to start over. One of the common pitfalls is the sunk cost fallacy - you already picked a framework, started, so you want to polish. But with AI sometimes it is better to start over, knowing what you know. Think of that as a roguelike game, in which you die, then start over - but richer by knowledge.
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