with jev, everyone is understanding the importance of calibrated confidence scores for…
This is a dev post classified by Jev as AI dev tools (a launch), kept by the Dev Radar because it carries real work, not commentary.
with jev, everyone is understanding the importance of calibrated confidence scores for discrete decision making we've taken that approach one-step further and created grounded confidence scores for general schema-guided document extraction: ✅ this includes primitive types like bool, int, and float. the numbers don't have to be bounded ✅ this also includes free-form text extraction ✅ each extracted value also carries a bounding box directly back into the source document calibrated confidence scores are extremely important for human review. By setting a threshold, you can let a human reviewe
Posted by Jerry Liu (84.2k followers) 9 h ago · 68 likes · 7.4k views · view the original post on X. Kept by the Dev Radar as AI dev tools. Tools mentioned: Developer Documentation, Sign in.
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