AI, ML, deep learning, and generative AI

Picture it

Imagine a vast landscape where machines mimic intelligence. Inside that space sits a garden called machine learning, where algorithms shape their behavior by molding to the contours of data. Deeper within lies a dense forest—deep learning—where multiple layers of artificial neurons filter and transform that data step by step. Generative models are the artists wandering this forest, learning the underlying patterns well enough to sketch entirely new, unseen landscapes.

What to understand

• Place classification, search, generation, and control on one map
• Distinguish training, inference, and evaluation

Follow the references

1. 1 · Course

   Google · Machine Learning Crash Course ↗

   Start with the introduction and types of machine learning.