Kathryn Hume — Financial Models, ML, and 17th-Century Philosophy
Gradient Dissent: Conversations on AI
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How Do You Frame That as a Machine Learning Problem?
We built this tool called it, we called i allan, which was a language, a listening answering neral network. The system takes that query, goes into an eskuall data basand am one parses from a natural language utterance. And then too can actually go and compute the operation, and i'll put an answer. Interesting. Ah, what what i mean? I think we've found some other interesting applications that you've talked about, or your teams talked about, like a, a textas sequel data base in her face. Rightso how did you frame that evens as a machine learning problem,. How did you get training data? Did you view it as
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