Re:GPT Neo: open-source GPT model, with pretrained 1.3B & 2....
by monkeydust on Sunday March 21, 2021 @06:16PM
(#26534639)
If I wanted to build an support Q&A system using texts from support logs, training docs, transcribed videos etc etc (basically as much text about my product as I can get) would this model be a good start ?
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Re:GPT Neo: open-source GPT model, with pretrained 1.3B & 2....
by malka on Sunday March 21, 2021 @06:53PM
(#26534915)
You should look on hugging faces https://huggingface.co/
https://huggingface.co/transformers/task_summary.html#extrac... more precisely
Re:GPT Neo: open-source GPT model, with pretrained 1.3B & 2....
by kristoo on Tuesday March 23, 2021 @12:10PM
(#26556680)
That would be one incredibly expensive Q&A system. As rightly suggested by others, some search + a finetuned Q&A system is what you need.
I've been building a library that makes solving tasks like conversational Q&A easy.
https://github.com/backprop-ai/backprop
If you need some pointers, we have example notebooks and I'm happy to chat about it as well. Would love to know if it helps!
Re:GPT Neo: open-source GPT model, with pretrained 1.3B & 2....
by FL33TW00D on Sunday March 21, 2021 @07:07PM
(#26534990)
Depending on how much content you've got, this blog post from HuggingFace might be interesting: https://yjernite.github.io/lfqa.html
Re:GPT Neo: open-source GPT model, with pretrained 1.3B & 2....
by ggnore7452 on Sunday March 21, 2021 @08:00PM
(#26535283)
also, for some quick and simple Q&A system. Haystack https://github.com/deepset-ai/haystack (essentially dense vector similarity on Elastic Search) looks pretty promising and supports whole pipeline.
Re:GPT Neo: open-source GPT model, with pretrained 1.3B & 2....
by monkeydust on Tuesday March 23, 2021 @12:11PM
(#26556707)
Thanks that looks decent for quick start.