I guess I'm getting the hang of this Wins & Progress channel now! π
Here's my Day update for the 10-Day AI Kickstart.
The task was to ask an AI tool to explain the different "layers" of AI like I'm five, since people always mix up AI, Machine Learning, GenAI, and Agentic AI.
My prompt was: "Explain the difference between AI, Machine Learning, Deep Learning, Generative AI, and Agentic AI like I am five, in simple short terms with a small example."
Honestly I thought this one would be way harder than yesterday's, since even adults at work get these terms confused! But the AI broke it down nicely. π
Here's the answer it gave me:
Think of AI as one big toy box π§Έ. Inside that box are smaller toys that all do different jobs.
Machine Learning is a toy that learns from examples, like sorting cat π± and dog πΆ pictures after seeing lots of them.
Deep Learning is a smarter version of that toy, with a brain made of tiny connected dots (like a spiderweb πΈοΈ) that helps it understand harder things, like photos or voices.
Generative AI is the toy that creates new things, like drawing a brand-new picture π¨ or writing a new story, instead of just sorting what already exists.
Agentic AI is the toy that doesn't just answer questions, it actually goes and does the task for you, step by step, like a little robot π€ with its own to-do list.
Simple way to remember it:
- ML/Deep Learning β learns and predicts
- GenAI β creates something new
- Agentic AI β takes action on its own
Pretty wild how layered AI actually is! I asked it to turn the explanation into an infographic too, since visuals just make it click faster for me.
That's a wrap for today! π