Repository navigation
Replies: 5 comments
|
Hi Marco, There are two table extractions from 10-K
Which one are you interested in? BTW they both use AI generated code so I have a general idea of how it's done but not details |
0 replies
|
the one from the txt direct. |
0 replies
|
ai generrated... so u used LLM as pair programmer and the llm generated code foryou? brilliant... but will it cover all possible usecases for embeddd tables? ty |
0 replies
|
Table parsing is generally good. There are some weaknesses which will be addressed in later releases. The limitation isn't the development of the code - it is in testing. I can't test that it covers all possible use cases unless I develop a test harness that can throw all possible use cases at it, which is an enormous task |
0 replies
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
Uh oh!
There was an error while loading. Please reload this page.
Hi @dgunning without revealing too much,.,,could you pseudo code how are you extracting html tables which might be embedded in a 10k? i'll uupdate with examples as soon as i have one
thanks again, you rock!
Marco
All reactions