3min chapter

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

Robust Visual Reasoning with Adriana Kovashka - #463

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

CHAPTER

How to Train a Model on a Data Set

i may have misinterpreted this or read too much into one of the diagrams in one of your papers, but there seem to be a thread in which you're asking the models to do these tasks. But then you're also asking them to explicitly explain their reasoning ri m and you do that as either part of the same task or as a side task. What dos ther youcan mean in the context an sure well, being able to train a model on one vice data set, and being able to apply it with not a lot of fine tuning on a different data set?

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