3min chapter

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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)

CHAPTER

Learning to Induce Causal Structure

Another paper by called learning to induce causal structure. Some of the authors overlap with the previous papers. The way we've done causal discovery is treated as an essentially in machine learning terms an unsupervised learning problem. In this paper, they made it a supervised learning problem in a sense that they took data sets of data and the corresponding graph for example. And generally speaking, they got good results.

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