What is Annotation?

Trusted reference labels used to train or evaluate model outputs.

A common objective function used to train classification models by penalizing incorrect probabilities.

Using noisy, heuristic, or partial labels to train models when clean labels are scarce.

A benchmark of grade-school math word problems used to evaluate step-by-step reasoning in language models.

A hypothetical AI system that can perform most intellectual tasks at a human level across many domains.

The work of making AI systems behave according to human intentions, values, and safety constraints.