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I am co-authoring a white paper with David Beaumont on the product of the MLxAI code-a-thon - RAGVar. This is a potentially useful bit of software that we want to write a little bit of a paper on to serve as a demonstration of our initial work. We also want to turn this into a pre-print to potentially reach a wider audience and hopefully kick off opportunities for further development.
This is a big task that should be broken up into sub-tasks with their own issues so I can make incremental progress.
I am co-authoring a white paper with David Beaumont on the product of the MLxAI code-a-thon - RAGVar. This is a potentially useful bit of software that we want to write a little bit of a paper on to serve as a demonstration of our initial work. We also want to turn this into a pre-print to potentially reach a wider audience and hopefully kick off opportunities for further development.
This is a big task that should be broken up into sub-tasks with their own issues so I can make incremental progress.
Here is the working document:
https://docs.google.com/document/d/1CBl6ADxE2I4dJeCC2fUQpX9oTUrYy_RFiOxyYpFoUJ4/edit
These are resources for adding content to the paper:
Final presentation that we gave for the code-a-thon to use as a reference.
https://www.canva.com/design/DAF-RavojzA/ZQvekFtE4Fr93zrnS2-fdw/edit
The repo for the original project is here containing most of the figures we generated on performance:
https://github.com/NCBI-Codeathons/mlxai-2024-team-beaumont
I have forked it here in case that disappears:
https://github.com/amc-corey-cox/mlxai-2024-RAGvar
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