ToolDix study guide · Classic reading
Evaluation Best Practices
OpenAI Developer Documentation
Guidance for defining objectives, collecting representative cases, selecting graders, and continuously evaluating model behavior.
Start with the source
The original publisher hosts the complete material and the current terms of use.
How to use this resource
Why it matters
It places evaluation before optimization and helps teams avoid judging quality from a few memorable chat examples.
First practical move
Write ten representative cases with expected properties before changing the model, prompt, or retrieval stack.
Good fit for
Builders creating a release gate for an AI feature
Source and publishing context
This page is an original ToolDix editorial guide. We do not reproduce the source's full article, course media, figures, or book pages. Official OpenAI documentation; use the primary page for current APIs and terms.
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