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Mistral's New Plan for Improving Its AI Models: Training Data from Enterprises
Paris-based AI giant Mistral "is pushing to improve its models," reports the Wall Street Journal, "by looking inside legacy enterprises that hold some of the world's last untapped data reserves...." Mistral's approach will be to form partnerships with enterprises to further train existing models on...
Paris-based AI giant Mistral "is pushing to improve its models," reports the Wall Street Journal, "by looking inside legacy enterprises that hold some of the world's last untapped data reserves...." Mistral's approach will be to form partnerships with enterprises to further train existing models on their own proprietary data, a phenomenon known as post-training... [At Dutch chip-equipment company ASML], Mistral embeds its own solutions architects, applied AI engineers and applied scientists into the enterprise to work on improving models with the company's data. This kind of hand-holding approach is necessary for most companies to tackle AI successfully, said Arthur Mensch [co-founder and chief executive of Mistral]. There is a lot of work yet to do, Mensch said, but in a large sense, the future of AI development now lies inside the enterprise itself.
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