Decoder. plain-English AI glossary

Automated Grading

▲ Rising

Using code or models to score outputs automatically instead of hiring humans to rate each one.

Think of it like

Like a school using a computer to grade multiple-choice tests instead of hiring teachers.

Example

You run 10,000 predictions through a BLEU grader in seconds. With humans, it would take weeks.

How it actually works

Automated grading is necessary at scale but has limits. Rule-based graders work for narrow tasks (exact match, length); learned graders (LLM judges) work for subjective tasks but introduce bias. Best practice: automate at scale, validate on a sample with humans.

For product teams

Automated grading enables rapid iteration. Use it for fast feedback loops, validate with humans periodically.

For engineers

Implement efficient graders; cache results; monitor for drift between automated and human judgments.

Grader — Component.

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