Submitted by granddaddy t3_zjf45w in MachineLearning
Acceptable-Cress-374 t1_izw9kw9 wrote
Reply to comment by visarga in [D] Getting around GPT-3's 4k token limit? by granddaddy
Would it help to parse the html with "regular" code (there are a bunch of python libs that do this) and give that parsed list to GPT3?
asmallstep t1_j01daaa wrote
Any libraries that you can recommend for this task?
It doesn't sound like a trivial problem. For example, a label "Email" above a field called "input1" would add relevant information that seems hard to parse. Taking the layout into account would be really helpful though.
granddaddy OP t1_izyu345 wrote
this sounds like the right answer (and sth i need to keep in mind as well)
just as an FYI, this is one answer i found from a twitter thread
- the data that needs to be fed into the model is divided into chunks
- when a user asks a question, each of these chunks (likely less than 4k tokens) is reviewed
- when there is a section of the chunk that is relevant, that section is combined with the user question
- this combined text is fed as prompt, and GPT-3 is able to answer the user's question
there's a prebuilt openai notebook you can use to replicate it
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