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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
by monkeydust 6y ago
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 ?
- malka 6y agoYou should look on hugging faces https://huggingface.co/ https://huggingface.co/ https://huggingface.co/transformers/task_summary.html#extractive-question-answering https://huggingface.co/transformers/task_summary.html#extrac... more precisely
- FL33TW00D 6y agoDepending on how much content you've got, this blog post from HuggingFace might be interesting: https://yjernite.github.io/lfqa.html https://yjernite.github.io/lfqa.html
- ggnore7452 6y agoalso, for some quick and simple Q&A system. Haystack https://github.com/deepset-ai/haystack https://github.com/deepset-ai/haystack (essentially dense vector similarity on Elastic Search) looks pretty promising and supports whole pipeline.
- monkeydust 6y agoThanks that looks decent for quick start.
- kristoo 6y agoThat 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 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!