ModelRefs / Pass@k — AI Glossary

Pass@k — AI Glossary

A code generation metric measuring the probability that at least one of k generated samples passes all unit tests.

What this reference supports

Pass@k — AI Glossary: This canonical definition establishes how ModelRefs uses the term and connects it to related implementation concepts. Read the definition in context when a vendor, paper, or benchmark uses a narrower meaning.

Pass@k — AI Glossary: Related references show where the concept appears in models, providers, benchmarks, workflows, architectures, prompts, or tools. Those links distinguish a definition from evidence that a particular system supports it.

Pass@k — AI Glossary: Terminology and implementation practice evolve. Check cited primary material and current documentation when the exact definition, protocol, or product behavior affects a consequential decision.

Continue your research

Use these connected ModelRefs sections to compare alternatives, inspect implementation paths, and review the evidence and governance boundaries relevant to Pass@k — AI Glossary.