The distinction between AI and GenAI is like the difference between eating and cannibalism; one contains the other, but there’s still a meaningful distinction.
Generative AI produces text or images by leveraging huge neural networks weighted by tons and tons of training data. It’s fundamentally a system of guesses and vibes.
Machine learning in general is often much more precise. The model finding early cancer in scans isn’t just guessing the next word, it’s running the image through a series of precisely tuned layers.
The industry term for the distinction is supervised vs unsupervised learning.
The distinction between AI and GenAI is like the difference between eating and cannibalism; one contains the other, but there’s still a meaningful distinction.
Generative AI produces text or images by leveraging huge neural networks weighted by tons and tons of training data. It’s fundamentally a system of guesses and vibes.
Machine learning in general is often much more precise. The model finding early cancer in scans isn’t just guessing the next word, it’s running the image through a series of precisely tuned layers.
The industry term for the distinction is supervised vs unsupervised learning.
It’s like saying hard drives are bad because of what you can store on them