Good to see that few shot learning is now even easier using the widget. We have had good results with writing emails and reported about it in our blog: https://www.helm-nagel.com/open-sourced-gpt-Neo-writes-indiv...

Hmm I don't work in this space too often, but wouldn't the maximum likelihood estimator of a oneshot example, saying telling it king => queen, hoping to learn male to female transitions... wouldn't that just be the simple linear transformation between the two embeddings?

I'm sure a few shot model can be a little more nuanced but I'm not sure I have any intuition about what that transformation looks like.

HuggingFace is going to get acquired in the near future, the talent pool they’ve accumulated is extremely impressive.