You make it sound as if they don’t already have a place in the world. Ml models have been employed to solve problems for the greater part of a decade or more now. Deeply integrated into damn near everything that you interact with.
When you get an MRI or a CAT scan AI helps identify and call out peculiarities.
The traffic lights and traffic management in your city is probably partially operated using “AI”.
Wear and tear on parts of your car are predicted from data using ml models.
Industry sensor data is interpreted and made actionable using ml models.
Telecommunication Network fault prediction and detection.
Energy load prediction.
…etc
But you’re probably talking about is recent hype around llms which are models that are fantastically good at understanding language. Which opens up a whole new field of possibilities when you can combine the ability to understand language with the predictability and reliability of “classic” ML models.
You make it sound as if they don’t already have a place in the world. Ml models have been employed to solve problems for the greater part of a decade or more now. Deeply integrated into damn near everything that you interact with.
When you get an MRI or a CAT scan AI helps identify and call out peculiarities.
The traffic lights and traffic management in your city is probably partially operated using “AI”.
Wear and tear on parts of your car are predicted from data using ml models.
Industry sensor data is interpreted and made actionable using ml models.
Telecommunication Network fault prediction and detection.
Energy load prediction.
…etc
But you’re probably talking about is recent hype around llms which are models that are fantastically good at understanding language. Which opens up a whole new field of possibilities when you can combine the ability to understand language with the predictability and reliability of “classic” ML models.