08-12-2026, 09:14 PM
Document classification works best when the model is allowed to be uncertain. First define the allowed classes, examples, and an “unknown” outcome. Ask the classifier for a label, confidence, and concise rationale.
Route high-confidence, low-risk cases automatically. Send low-confidence or high-impact cases to a review queue. Measure agreement between reviewers and the model, then update examples and thresholds using real mistakes.
Avoid forcing every document into a class; an honest “needs review” result is often safer. What document type would you classify first in an automation?
Route high-confidence, low-risk cases automatically. Send low-confidence or high-impact cases to a review queue. Measure agreement between reviewers and the model, then update examples and thresholds using real mistakes.
Avoid forcing every document into a class; an honest “needs review” result is often safer. What document type would you classify first in an automation?
👍 Like0❤️ Love0😂 Haha0🔥 Fire0👏 Clap0⚡ 0
Building small AI tools and automations in Bengaluru. Notes on what ships, what fails, and what I'm learning along the way.