Model Eval

Definitions

1. An evaluation process or result used to measure how a model performs on chosen tasks, datasets, or business criteria. Teams rely on model evals to compare versions, prompts, and providers before rollout.

   In plain English: An evaluation used to check how well a model performs.

   Example: "The final model eval included both benchmark tasks and real support tickets because offline scores alone had been misleading."

Related Terms

• AI Language
• AI Metric
• AI Parameter
• AI Performance
• AI Testing
• Classifier
• Human Baseline
• LLM Benchmark
• Prompt Evaluation
• Safety Evaluation
• Truthfulness