Part 14
Detecting and Reducing LLM Hallucinations
Separate hallucination types, detect them with claim-level verification and uncertainty signals, and reduce them without making the model useless.
Evaluation & Reliability
Eval suites, LLM-as-a-judge and keeping hallucinations in check.
Articles
Part 15
Building an Eval Suite for a Customer Support Bot
Build support-bot evals from real failures: layered offline tests, calibrated judges, statistically sound release gates and a production flywheel.
Part 16
Making LLM-as-a-Judge Trustworthy: Calibration, Bias and Drift
Treat an LLM judge like a measurement instrument: calibrate it against human labels, remove its known biases, and size your eval sets for real error bars.