Re:ChatGPT turned generative AI into an “anything tool”
by bronco21016 on Thursday August 24, 2023 @08:41AM
(#37248085)
I’m curious of methods other commenters to you are using.
I recently vectorized a PDF of material that contains a lot of complex scheduling language. It covers legal regulations as well as contractual constraints. Using langchain’s QA function I queried the vector DB. I then tested it against a sample of questions from a Facebook group on the subject. It did shockingly well.
It seems so much has to do with feeding it the right chunks of source material. When I experimented with just copy and paste small chunks on my own it rarely provided useful feedback.
I love the law idea. I just bought a house and would like to do an addition. Feeding local code and regulation for QA could be a god send in navigating this stuff for a non-expert.
I recently vectorized a PDF of material that contains a lot of complex scheduling language. It covers legal regulations as well as contractual constraints. Using langchain’s QA function I queried the vector DB. I then tested it against a sample of questions from a Facebook group on the subject. It did shockingly well.
It seems so much has to do with feeding it the right chunks of source material. When I experimented with just copy and paste small chunks on my own it rarely provided useful feedback.
I love the law idea. I just bought a house and would like to do an addition. Feeding local code and regulation for QA could be a god send in navigating this stuff for a non-expert.