Teaching GPT-3 to Identify Nonsense

Re:Teaching GPT-3 to Identify Nonsense by blixt on Wednesday July 29, 2020 @04:21PM (#23991140)

Since GPT-3 transforms sentences into high-dimensional vectors with connections between all the words and of course its internal weights trained on both the English language and all languages in general, I find that it has a basically flawless ability to interpret normal language.

I tested a prompt where the input was English and the output was Swedish, and it did a really good (but not always perfect) job at translating Swedish. I would assume the amount of Swedish in its training set is relatively tiny, so I find its ability to do that kind of translation in addition to all this other stuff really impressive. This also shows in its ability to translate really well between English and bash shell commands, or JSON data structures, or XML.

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Re:Teaching GPT-3 to Identify Nonsense by aspenmayer on Thursday July 30, 2020 @01:47AM (#23995068)

If this kind of thing interests you, look into the field of zero-shot learning.

https://en.wikipedia.org/wiki/Zero-shot_learning

Zero-Shot Translation with Google’s Multilingual Neural Machine Translation System

https://ai.googleblog.com/2016/11/zero-shot-translation-with...

Zero-Shot Learning—A Comprehensive Evaluation of the Good, the Bad and the Ugly

https://ieeexplore.ieee.org/document/8413121

also available at:

https://arxiv.org/abs/1703.04394

mbsariyildiz / zsl_eval

> Python implementation of zero-shot/generalized zero-shot evaluation framework proposed by Xian et al in Zero-Shot Learning - The Good, The Bad, The Ugly.

https://github.com/mbsariyildiz/zsl_eval

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