Josep M. Pujol: preference

Transcript context

…So that history of the hardware enablement is really interesting. Can we do the same, an equivalent history for the progression of language models or semantically enabling models? Because going back to like early days, you had literally just keywords and then n grams. Then now obviously we've got pretty amazing language models, I would imagine that like the best language models are maybe an overkill for some of the use cases, if only because of cost and latency. So what's that history like and where are you guys today in terms of the models that you use for semantic purposes? Yeah. Remember, like, the example I told you before about Lady Gaga, age versus whole world is Lady Gaga? That's a semantic metric. Right? We started to use embeddings, semantic embeddings based on on a model that was called the star space. I don't know if it's familiar sounds familiar. I didn't know it specifically.…

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