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Brilliant

How AI Works

via Brilliant

Overview

Syllabus

Prediction and Probabilities

  • Intro to Language Models
  • Predicting the Next Word
  • Larger Context Windows
  • Calculating Word Probabilities

Language Model Training

  • Temperature
  • Improving Models
  • Loss
  • Preprocessing
  • Capitalization
  • Punctuation
  • Tokenization
  • Byte-Pair Encoding

Deep Network Models

  • Deep Networks
  • Training
  • Gradient Descent

Neurons and Layers

  • Neural Networks
  • Folding Data
  • Multiple Layers

Image Models

  • Reading Digits
  • Pattern Recognition
  • Compressing Images
  • Classifying Faces
  • A Space of Faces
  • Semantic Geometry

Language Analysis with Python

  • Turning Text into Data
  • Using Dictionaries
  • Counting Unique Words

Text Generation with Python

  • Bigrams and Mutability
  • Bigram Frequency and Tuples
  • Bigram Analysis
  • Building a Language Model

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