Level
1
Intro to Language Models
Predicting the Next Word
Larger Context Windows
Calculating Word Probabilities
Level
2
Temperature
Improving Models
Loss
Preprocessing
Capitalization
Punctuation
Tokenization
Byte-Pair Encoding
Level
3
Deep Networks
Training
Gradient Descent
Level
4
Neural Networks
Folding Data
Multiple Layers
Level
5
Reading Digits
Pattern Recognition
Compressing Images
Classifying Faces
A Space of Faces
Semantic Geometry
Level
6
Turning Text into Data
Using Dictionaries
Counting Unique Words
Level
7
Bigrams and Mutability
Bigram Frequency and Tuples
Bigram Analysis
Building a Language Model
Course description
Take a peek under the hood of generative AI and LLMs to understand how they work.
Prerequisites and next steps
Using a live chat interface, this course explores large language models, including how corpora are built, ngram models, tokenization, and temperature.
Up next
Introduction to Neural Networks
Dive into the inner machinery of neural networks to discover how these flexible learning tools actually work.
Jump ahead