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Brady Neal about Causal Inference in Vector Search

Weaviate Podcast

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The Importance of Causal Inference in Deep Learning

I mean, causal inference is useful for just when you're trying to infer effects of actions and you don't already know those effects. So that kind of reminds me of say the like the mu zero Monte Carlo tree search of rolling out several pathways and then trying to pick from the pathways. I think that if you ask a lot of causal inference people, they'll say yes, but you know, pea, whatever people are most familiar with is the is the tools that they want to use.

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