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Thank you for raising this. It is an interesting direction and we would like to try it: extraction and entity alignment are where most of the model cost goes today, and a smaller model that does those two steps well would change what a large base costs to build. Pull requests are welcome. Since this replaces a model call in the pipeline, please open an issue first saying which step you would start with (extraction, kind-word alignment, phrase alignment or entity adjudication) and how you would measure it; the benches under Thanks again for the idea. |
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LLMs are simply too costly and slow for extraction tasks...
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