it you make it task specific you keep keep training it until it gets to 99.9% accuracy and say instead of using it using machine learning algorithms we're going to use generative AI small language models and they're going to do that at the end so my point is what we're doing is we're trying to figure out what task requires what level of intelligence and what is the cost of that intelligence for that particular task and you'll suddenly discover you don't need a Ferrari for every task and by the way the customers don't want to pay for a Ferrari for every task I'll give you the flip side flip side is
it you make it task specific you keep keep training it until it gets to 99.9% accuracy and say instead of using it using machine learning algorithms we're going to use generative AI small language models and they're going to do that at the end so my point is what we're doing is we're trying to figure out what task requires what level of intelligence and what is the cost of that intelligence for that particular task and you'll suddenly discover you don't need a Ferrari for every task and by the way the customers don't want to pay for a Ferrari for every task I'll give you the flip side flip side is