How evals drive the next chapter in AI for businesses

This is a primer for business leaders looking to apply evals in their organizations.

The resulting golden set of examples should be a living, authoritative reference of your most skilled experts’ judgement and taste for what “great” looks like.

Do not get overwhelmed with a cold start or try to solve it all at once. The process is iterative and messy. Early prototyping can help immensely. Reviewing 50 to 100 outputs from an early version of the system will uncover how and when your system is failing. This “error analysis” will result in a taxonomy of different errors (and their frequencies) to track as your system improves.