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The problem was the output was so noisy that i had to write and what i call like an NLP layer which would go and you know change things for instance if you say 25 and it actually spells it out with letters you you will collapse that to a number. But sometimes it would do it in problematic places and you're like oh no don't do that don't do it here. It's like it's like an aftermath you know thing and you would wish that the model having enough context and knowledge about the world should do it right as it transcribes rather than you do this as as aftermath yeahYeah exactly i'm thinking i'd hate to be like quoted as saying it's not