Schedule
| Week | Topics | Slides | Demo |
|---|---|---|---|
| 1 | Introduction | ||
| 2 | Text classification: Logistic regression | ||
| 3 | Text classification: Feed-forward neural networks | ||
| 4 | Word embeddings: Latent semantic analysis | ||
| 5 | Word embeddings: Word2vec | ||
| 6 | Language modeling: n-gram language models | ||
| 7 | Language modeling: Neural network language models | ||
| 8 | Statistical machine translation | ||
| 9 | Seq2seq models | ||
| 10 | Natural language generation | ||
| 11 | Contextualized word embeddings: Elmo | ||
| 12 | Transformers and BERT | ||
| 13 | Efficient Fine-tuning | ||
| 14 | In-Context Learning | ||
| 15 | LLM Applications |