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Intro
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Classroom Contents
The Narrated Transformer Language Model
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- 1 Intro
- 2 The Architecture of the Transformer
- 3 Model Training
- 4 Transformer LM Component 1: FFNN
- 5 Transformer LM Component 2: Self-Attention
- 6 Tokenization: Words to Token Ids
- 7 Embedding: Breathe meaning into tokens
- 8 Projecting the Output: Turning Computation into Language
- 9 Final Note: Visualizing Probabilities
