LLM evaluationRapid Fire
LLM Evaluation Fundamentals 1
Practise explaining what makes an LLM evaluation credible, from its labels and judge to the uncertainty in its results.
Unlock with Full AccessThe round
Seven short-answer questions cover the decisions behind a useful evaluation. The round includes label agreement, automated-judge calibration and the difference between benchmark performance and behaviour after deployment. You explain why an apparently convincing result may still need closer examination.
What you'll practise
Coverage and contamination
Explain when the test population or its relationship to training data undermines a comparison.
Human and model judgments
Reason about disagreement between assessors and whether an automated judge reflects the intended standard.
Uncertain results
Interpret a measured improvement without treating a finite evaluation as a guarantee.
Get feedback on each answer when you finish the round.