Few-shot learning NLP with GPT-J and GPT-Neo

news.ycombinator.com
2 min read
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Hello!Since I added the GPT-J and GPT-Neo endpoints to NLPCloud.io, I've had many questions about how to make the most of these 2 NLP models. So I just wrote an article about few-shot learning with GPT-J and GPT-Neo: a simple technique to dramatically improve accuracy: https://nlpcloud.io/effectively-using-gpt-j-gpt-neo-gpt-3-alternatives-few-shot-learning.htmlFew-shot learning is about helping a machine learning model make predictions thanks to only a couple of examples. No need to train a new model here: models like GPT-J and GPT-Neo are so big that they can easily adapt to many contexts without being re-trained.Thanks to this technique, I'm showing how you can easily perform things like sentiment analysis, code generation, tutorial generation, machine translation, spell correction, question answering, tweet creation...I personally find it amazing what can be done with these models. It seems that only our imagination is the limit!Hope you'll find it useful. Comments URL: https://news.ycombinator.com/item?id=27916317 Points: 1 # Comments: 0
Since I added the GPT-J and GPT-Neo endpoints to NLPCloud.io, I've had many questions about how to make the most of these 2 NLP models. So I just wrote an article about few-shot learning with GPT-J and GPT-Neo: a simple technique to dramatically improve accuracy:…
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