he is trying to say that you didn't make Jev at all. you fine tuned a model for a particular domain while Jev works across all domains. seems different right?

the difference is likely not in per domain performance, but rather that you can get similar performance across domains without needing to craft a dataset and retrain, i.e. it has a broad knowledge base and works out of the box (unclear if this is accurate, but have heard it postulated)

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