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Introduction to Interpretability for Language Models

Overview

Python Basics

1. Getting Started
2. Python Basics
3. Data Analysis in Python

Language Models

4. N-gram Models
5. Vectorization
6. Vector Space Semantics

Large Language Models

7. Large Language Models: An Introduction
8. Bidirectional Encoder Representations from Transformers (BERT)
9. Generative Pre-Trained Transformers (GPT)

Appendix

10. Cross Entropy
11. Attention in Vector Space

Index

By Tyler Shoemaker

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