Fine tuning existing semantic models

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Semantically if we compare 2 sentences, like “I have a cat” and " I am a cat", they sit very close in the vector space. Is there a way where we can build a model that could differentiate it by the meaning and not the distance.

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@Rash123 A decent sentence transformer should not put them together in the first place. Is this from an example, or are you just guessing they might be close together since the words are similar?

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Agree with @greg “A decent sentence transformer should not put them together in the first place.”