These are the code and slides for a presentation of LLM-based linkage methods.
It requires a Gemini API key. To run in on more than a few records you'll also have to enable billing, unfortunately. Please monitor your usage carefully.
prep_offices_for_linkage.R - prep the datafiles into a json candidate list. link_candidates.py - uses the Gemini API cost.R - calculates the total cost for the run
You might have to adjust the paths a bit to run it all.
pres/newlinkage contains the slides explaining what's happening
11 commits
Python
100.0%
These are the code and slides for a presentation of LLM-based linkage methods.
It requires a Gemini API key. To run in on more than a few records you'll also have to enable billing, unfortunately. Please monitor your usage carefully.
prep_offices_for_linkage.R - prep the datafiles into a json candidate list. link_candidates.py - uses the Gemini API cost.R - calculates the total cost for the run
You might have to adjust the paths a bit to run it all.
pres/newlinkage contains the slides explaining what's happening
11 commits
Python
100.0%