2min 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

The Nature of Causal Models

In machine learning, for example, we're often working with very low level features like pixels or like bits in an audio file. In a traditional causal model, you have to build that abstraction directly into the model. But in physical science, it might just be easier to start with whatever the highest resolution of representation is and then focus on the micro interactions between those particles.

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