Model Quality

Definitions

1. The overall usefulness and reliability of a model's outputs for the intended task, considering correctness, consistency, safety, and user acceptance. Model quality is often assessed through a mix of evaluation suites and human review.

   In plain English: How good and dependable a model's outputs are.

   Example: "The team treated groundedness as part of model quality because fluent unsupported answers were still product failures."

Related Terms

• AI Model
• AI Quality
• AI Test
• AI Training
• Anthropic
• Claude
• Data Quality
• Model Cost
• Quality Filter
• Regression in AI
• Response Quality
• Verification AI