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

The Future of Causal Inference

I think there's a lot of low-hanging fruit in terms of combining causality with these large language models. I mean, it really reduces the amount of effort that goes into just getting a causal effect and it brings out analysis, for example, off the ground. That's probably obvious to everybody right now. But if you could just surface it to the human and the human can edit it and say, "Oh wait, that never causes that," that's a lot.

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