AI Foundations Explained: The Hierarchy of ML, DL, & LLMs (2026 Guide)
AI Foundations Explained: The Hierarchy of ML, DL, & LLMs (2026 Guide) Video covers the following:
The nesting of terms where AI contains machine learning, which contains deep learning and LLMs,.
The difference between models as engines, harnesses as cars, and agents as self-driving cars.
A timeline starting in 1950 through the 2012 deep learning boom to 2026 frontier models.
Definitions for AGI, ASI, and world models that learn environmental physics and cause-and-effect.
The four learning paradigms, emphasizing how self-supervised learning enabled models to train on the whole internet,.
Key rules like scaling laws and the bitter lesson that raw compute usually beats human-engineered knowledge,.
This was created through personal research and with the help of NotebookLM.