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And obviously, now we’re looking to expand the team more and more, I think we’ve looked into hiring, you know, ml ops people, machinelearning engineers, software engineers, and it has produced already a tremendous amount of value for the firm. And we potentially contaminate caselaw. Elimination is all you need paper.
And obviously, now we’re looking to expand the team more and more, I think we’ve looked into hiring, you know, ml ops people, machinelearning engineers, software engineers, and it has produced already a tremendous amount of value for the firm. And we potentially contaminate caselaw. Elimination is all you need paper.
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And then once you’ve given me the answer, then go into the caselaw discussion, that is provide one paragraph per case. And so here, you’re gonna see one paragraph per case. And it talks about these various cases that are here. And give me the answer right up top right. Precise, humans are about 96%. This is 99.6.
Like they’re just these massive machines that folks can’t really wrangle, there are entire new startups built around. Machinelearning transparency, trying to give humans a way to view the models and get a bit of a better understanding of it.
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