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AI Trends 2023: Causality and the Impact on Large Language Models with Robert Osazuwa Ness - #616
The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)
Simulating Climate and Weather Processes in Simulations
The first trend is you want to create a model that reflects causal relationships in the world. And we're going to talk through some ways folks have approached that one with simulation. You can kind of think about the causal system in terms of local level interactions, build that into a simulator and then use that simulated data to essentially create the training data for your foundation model. It's a billion dollar industry and there is already a lot of work in using machine learning models to build surrogates of simulators.
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