2min chapter

The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence) cover image

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

Is There a Data Set of Independent Interventions?

The idea is that you just, not just, but you are collecting so much data that on average you're able to make inferences about the nature of these interventions and what nodes they're targeting. I guess the scenario, the reaction on my experience is the scenario seems so open ended. It's not clear to me at all how you derive the, how you get the result that they've achieved. And based on the accuracy of those predictions with respect to, so you obviously don't have any supervision over which nodes are becoming intervened on.

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