Beyond Market Intelligence/confidence scoring

confidence scoring

Beyond Market Intelligence keeps confidence scoring in one place: one story so far. The section currently leads with “Small models, smarter labels: confidence scoring without the hype”. Small classification models that score confidence over a list of labels, rather than generating free text, deserve more attention. Acme AI is the next-generation, AI-powered spreadsheet platform built to replace Excel and redefine how analysts, data scientists, and enterprise teams work… The list below is every confidence scoring story on Beyond Market Intelligence, newest first.

Machine Learning

Small models, smarter labels: confidence scoring without the hype

Small classification models that score confidence over a list of labels, rather than generating free text, deserve more attention. Gokula Krishnan ran his own evals on TypeSafe AI's hosted Jev and the open-source Laya, and his findings are practical. Describing labels by what's in the input, not intent, boosted accuracy from 65% to 77% on AML detection. Calibration matters: Jev's ECE of 0.013 let a 90% confidence filter reach 97.6% accuracy while covering 82% of cases. Laya's untuned ECE of 0.486 didn't