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by Andreagobbo 492 days ago
'm curious—how does Klarity handle cases where reasoning errors are not just due to poor training data but also because of inherent limitations in the model architecture or prompt design? Are there specific suggestions for addressing those types of issues, or is the focus mainly on dataset optimization?
1 comments

We are currently giving broad suggestions with an insight model that can be chosen during the setup. We will try to update and improve the suggestion prompt/code to make them more granular with new releases