Seun Adetoye

LLMs generate fluent text even when they are wrong, making it hard to know when to trust their output. This article explores practical techniques for attaching calibrated confidence scores to LLM responses — from logprob analysis and ensemble voting to self-critique prompting and retrieval-grounded verification.

20 July 2026

A practical guide to designing and deploying a production-grade content moderation pipeline using LLMs, covering classification strategies, confidence scoring, human-in-the-loop escalation, and latency trade-offs

16 July 2026