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Osmosis 0.6B: RRULE Extraction
This talk demonstrates using the small Osmosis 0.6B model to extract complex, unstructured RFC 5545 schedule data into valid JSON format efficiently.
We have a vast amount of unstructured schedule data on community services available to communities across 20 states. It is easier for data managers and community members to write brief notes, though service delivery schedules can be quite complex when translated to data that is interoperable with the iCal standard. This makes it a great task for LLMs… but VRAM/RAM and compute is expensive, you know?
I plan to probably show what a row of our data looks like, a community service offered for those in need and its unstructured schedule data. Then, I will take that unstructured data, prompt the model with it, and we can all see if it generated something useful. It will probably all be CLI but I will zoom in my screen ʕ•ᴥ•ʔ