← Back

Evals

technique

1 creator use or recommend it

▲ 1 active in the last 90 days

1 use
Last discussed Oct 20, 2026

A methodology for evaluating AI model outputs by defining success criteria, creating test datasets, and using quantitative scoring to measure and improve AI product quality.

Recently discussed in

What creators say

Used for: Choosing and swapping models based on quality for Vanta's agents Praised: Subject matter experts write the frameworks, so models can be optimized for q...

"In the beginning of the year we really invested in using our subject matter experts, the folks who ran security and compliance programs at other companies, to write the eval frameworks and then eval their evals."

More from Christina Cacioppo →

About this data

  • ✓44,000+ mentions extracted from real podcast transcripts
  • ✓Every quote links to the source episode
  • ✓Sponsored mentions are always labeled
  • ✓Critical takes are shown, never filtered out
How Followed works →
Get an email when a new creator recommends it

Follow Evals

Free email updates