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I'm curious as to the difference between the ambitions of these two tools? Are they converging or going off in different directions? I can't quite tell from the descriptions. (https://github.com/monarch-initiative/curate-gpt)
The text was updated successfully, but these errors were encountered:
I'd like to modularize and reuse some of the same components, but hesitant to commit to any timeline, and the AI engineering landscape is v fluid
CurateGPT is more generic, and has very little builtin knowledge of what an ontology is. The basic unit is a json document (which may be a term, may be a gene, or pathway, can be anything, ...)
CurateGPT has more focus on RAG (we may start adding this independently in OntoGPT, it's so useful)
CurateGPT has more focus on the UI
We're hoping for some funding to develop this next year, happy to share the science section
I'm curious as to the difference between the ambitions of these two tools? Are they converging or going off in different directions? I can't quite tell from the descriptions. (https://github.com/monarch-initiative/curate-gpt)
The text was updated successfully, but these errors were encountered: