AI Glossary Term

What does “Model Registry” mean?

Definition

A central catalog for versioning, approving, and tracking models across environments.

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How Model Registry works

Example

A team keeps every trained model with its data version, scores, and approval status in a registry. If version 7 misbehaves in production, they roll back to version 6 in minutes.

Why it matters

A registry gives traceability and control over which model is live. It helps audits and safe rollbacks.

Common questions

What does it store?

Model files, version numbers, metrics, lineage, and approval stages.

Do I need one?

For a single hobby model, no. For teams running several, it prevents confusion.

Does it connect to deployment?

Often yes, so approved versions can be deployed automatically.

Memory (Agent Memory)Stored context an AI agent uses across steps or sessions to improve continuity.MMLUA benchmark testing language models across 57 academic and professional subjects using multiple-choice questions.AGI (Artificial General Intelligence)A hypothetical AI system that can perform most intellectual tasks at a human level across many domains.TransformerA neural architecture that uses attention to model relationships across sequences in parallel.Eval HarnessA repeatable evaluation framework that runs prompts, datasets, and scoring logic across model versions.Machine Learning (ML)Methods that allow systems to learn patterns from data and improve over time.

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