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if you're "parsing" structured or even semi structured data with a LLM.... sigh. an true scotch engineer know tagged data goes into the other end. but I guess
by 1oooqooq 2y ago
if you're "parsing" structured or even semi structured data with a LLM.... sigh.
an true scotch engineer know tagged data goes into the other end. but I guess that doesn't align with openai target audience and business goals.
i guess that would be fine to clean the new training data... but then you risk extrapolating hallucinations
- danso 2y agoThe financial disclosures example was meant to be a toy example; with the way U.S. House members file their disclosure reports now, everything should be in a relatively predictable PDF with underlying text [0], but that wasn't always the case [1]. I think this API would've been pretty helpful to orgs like OpenSecrets who in the past had to do record and enter this data manually. (I wouldn't trust the API alone, but combine it with human readers/validators, i.e., let OpenAI do the data entry part, and have humans do the proofreading) [0] https://disclosures-clerk.house.gov/public_disc/financial-pdfs/2019/10035243.pdf https://disclosures-clerk.house.gov/public_disc/financial-pd... [1] https://disclosures-clerk.house.gov/public_disc/financial-pdfs/2008/8135973.pdf https://disclosures-clerk.house.gov/public_disc/financial-pd...