The Importance of Clarity of Purpose in AI Models

The speech to text model has to really do well in for that use case. There's a lot of background noise, maybe dog barking in the back of the car and ambient noise in the environment. So having a clarity of that is super important and that's what first of all makes the model more usable and relevant. Second time, it's so now we come to the client who is buying that AI model, let's say. Right? Initially, they'll do a POC, right? Any anybody who wants to try it out, test it out. And part of that feedback is you say, you know, this prediction or you said, you know,. you transcribed, you