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I am not sure I understand what you're trying to say. We fine tuned bert for a specific usecase to build essentially what jev is but for that particular domain.
by prometheus1992 7d ago
I am not sure I understand what you're trying to say. We fine tuned bert for a specific usecase to build essentially what jev is but for that particular domain. We did this in last 2, 2.5 years ago. A lot of people did that. There are tons of bert fine tuned versions available on HF.
>>The promise of Jev is that it's FRONTIER INTELLIGENCE,
- capitalizing won't do much for your claim if it's wrong. Promise of Jev is it can't hallucinate, it took 2 years to develop in stealth mode, it's funded with $30 million. None of that makes sense, if you can get 90% of the performance from an open source model that's been available for years.
- verdverm 7d agothe 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)
- baobabKoodaa 7d ago[flagged]
- deleted 7d ago[deleted]
- spullara 7d agohe 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?