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theoneandonlypatriot t1_j70ny0h wrote

Hmm can you elaborate a bit as someone who works in ai? How are you labeling data with gpt-3?

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visarga t1_j712mwb wrote

My task is in the NLP space, maybe that makes it more approacheable - information extraction from semistructured documents. I can do extraction from existing documents with GPT-3 (question answering) or I can generate new data with known tags.

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cunth t1_j71ovks wrote

Getting a good data set to train a model is usually the most time-consuming task. You need breadth amd depth of content so your model doesn't overfit and work for just a handful of narrow use cases.

Supervised learning algorithms need labeled data (e.g. classification tags) and this is traditionally done with people. If that can be done with AI, you can complete this 100x faster and probably more accurately.

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