Learn directly from Dany Entezari
Go deeper with a course
The Mathematics of Artificial Intelligence
Dany Entezari
Mathematician | Founder at Bignumber (Computational Research)
Go deeper with a course
The Mathematics of Artificial Intelligence
Dany Entezari
Mathematician | Founder at Bignumber (Computational Research)
What you'll learn
Modalities of Data
Data have various modalities: text, imagery, audio, and tables. See how and why data needs to be "embedded".
Encoders and Decoders
A look at the process of embedding data, and the role of components core to transformer models: encoders and decoders.
Matrix Mathematics
Review of essential matrix operations for embedding and model parameters.
Why this topic matters
Sign up if you want some insight into the inner-workings of language models such as ChatGPT, Claude, and Llama.
This lightning lesson gives you glimpse into the central theoretical components of transformers, and, generally, neural networks.
This lesson is also designed to give you both an introduction to and motivating reason for delving into the theory and mathematics of machine learning
You'll learn from
Dany Entezari
Mathematics Consultant and Mathematics EdTech Developer at BigNumber.io.
I am a mathematics consultant and educator who has taught 500+ professionals and university students.
My alumni include engineers, financiers, medical professionals, PhD candidates, and MSc students who work for companies such IBM, Emirates Airlines, Amazon, Siemens, Halliburton, and government institutions.
