Building a Word-Level Language Model Using RNNs in PyTorch - Lab 4.4

Building a Word-Level Language Model Using RNNs in PyTorch - Lab 4.4

Donato Capitella via YouTube Direct link

- Preparing Data for Self-Supervised Learning

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- Preparing Data for Self-Supervised Learning

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Building a Word-Level Language Model Using RNNs in PyTorch - Lab 4.4

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  1. 1 - Introduction
  2. 2 - Fairy Tales Dataset
  3. 3 - Tokenization
  4. 4 - Creating a Vocabulary of Tokens
  5. 5 - Preparing Data for Self-Supervised Learning
  6. 6 - Creating the Model
  7. 7 - Text Generation
  8. 8 - Training the Model
  9. 9 - Temperature and Top-p Sampling
  10. 10 - Word Embeddings

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