Comparison
Ground Truth vs Offline Evaluation
Ground Truth and Offline Evaluation are both common AI/LLM terms but cover different ideas. Here is a quick side-by-side.
When you would reach for Ground Truth
Ground Truth comes up when the question is fundamentally about evaluation.
For a coding eval: ground truth = the passing tests in the repo at HEAD.
When you would reach for Offline Evaluation
Offline Evaluation comes up when the question is fundamentally about evaluation.
A RAG team's offline eval: 500 (question, gold answer) pairs, scored by LLM-as-judge on faithfulness and relevance, run on every prompt PR.
Frequently asked
What is the difference between Ground Truth and Offline Evaluation?
Ground Truth: Ground truth is the known-correct answer for an eval input. For supervised tasks it is the label used to grade model outputs; for LLM apps it is often human-curated reference answers. Offline Evaluation: Offline evaluation runs a fixed dataset of inputs through a candidate model or prompt, scores each output, and reports aggregate quality — the standard way to compare changes before shipping.
When should I use Ground Truth vs Offline Evaluation?
Ground Truth is the right concept when you are focused on evaluation. Offline Evaluation applies when you are focused on evaluation.
Are Ground Truth and Offline Evaluation the same thing?
No. Ground Truth is evaluation; Offline Evaluation is evaluation. They are related but address different parts of the AI stack.