Sequoia backed a model that's 100x faster and 100x cheaper than an LLM.
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Sequoia backed a model that's 100x faster and 100x cheaper than an LLM. It's called Jev, by Typesafe, and Sonya Huang led the round. Pat Grady, co-steward of Sequoia, explains: 1. Jev is a classifier: it makes multiple-choice decisions 2. Companies do this with LLMs today, in a roundabout way 3. Jev does it 100x faster and 100x cheaper Grady thinks new architectures like this will make AI accessible to everyone. Full breakdown here: https://www.theaiopportunities.com/p/inside-the-new-sequoia-pat-grady?r=53m7yb
Posted by Guillermo Flor (14k followers) 23 h ago · 6 likes · 1.9k views · view the original post on X. Kept by the AI Radar as AI business. Tools mentioned: theaiopportunities.com.
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