2min chapter

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

AI Trends 2023: Natural Language Proc - ChatGPT, GPT-4 and Cutting Edge Research with Sameer Singh - #613

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

CHAPTER

How to Clean Up Your Pre-Training Data

The idea would be when you're doing it over many different entities and many different relations. So those kind of become your whole data set in some sense. But in applying the causality machinery, like are each of those interventions relative to some prior relationship between the things, the triples? Yeah. And then together, which of these relations seem to affect a specific prediction the most that can? Okay. Awesome.

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