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4min chapter
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)
Is There a Core Elements of Causality?
The way I think about it is like this. One mode of research that has been very successful in deep learning is to essentially brute force a practical problem with a lot of compute and a lot of data. And then once it works, you do something like an ablation study to figure out what is driving why it works. But that's difficult to do when causal reasoning is involved because you don't know if the reason is not working is because the causal problem is not identified. In other words, it's ill posed given the data and your causal assumptions.
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