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The model struggles with names and assumes a word. Tostitos is often heard wrong, for example.
Either lean on a larger model and suffer at least 2x inference time, or build a dictionary of common typos and run the output through that before presenting to the users,
The text was updated successfully, but these errors were encountered:
The model struggles with names and assumes a word. Tostitos is often heard wrong, for example.
Either lean on a larger model and suffer at least 2x inference time, or build a dictionary of common typos and run the output through that before presenting to the users,
The text was updated successfully, but these errors were encountered: