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Matthew Davis — Bringing Genetic Insights to Everyone

Gradient Dissent: Conversations on AI

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The Biggest Bottlenecks in Machine Learning?

It's very interesting I guess I've not made a connection between reasoning engines and systems like those two most seem like kind of separate tracks is there something about like making working systems in your experience it really requires like reasoning? Well it's good I mean so you know if you take an example like the word embeddings or graph embeddings once you have the representation of similarity you can rank documents and calculate a F1 score but you can also give it to an expert and say I found this thing for you do you think it's the right thing or not. If they say no then you could ask them like why not and reason about the entities in relationships you extracted. But that's

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