Why limit yourself to just one AI model?
Single point of failure
Models hallucinate, APIs can go down and specific models dissapear with little-to-no warning - breaking your application
Poor diversity
Using a single model means you are limited to the data it was trained on - and that data is often stale
Bias
Using only one model leaves your application vulnerable to bias - and bias is a big problem in AI