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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)
CP Daggers - How Do They Avoid a Bias?
The method avoids this issue of there being many ways to represent graph from same underlying data. The easiest thing to do is just be aware of the issue and caveat it by saying like, well, this is true up to an equivalence class. So if you thought that this was a problem, you could turn a directed acyclic graph into something called a completed partially directed acyClic graph. This approach to use a transformer architecture to encode a joint distribution on edges in a causal graph has never been seen before.
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