| 3/2 |
1 |
Introduction & NLP Tutorial Part 1 |
| 3/9 |
2 |
NLP Tutorial Part 2 |
| 3/16 |
3 |
BERT (Encoder-only Models) |
| 3/23 |
4 |
T5 (Encoder-Decoder Models) |
| 3/30 |
5 |
GPT (Decoder-only Models), Huggingface 실습 |
| 4/6 |
6 |
In-Context Learning |
| 4/13 |
7 |
Prompting for Few-shot Learning |
| 4/20 |
|
중간고사 |
| 4/27 |
8 |
Parameter-Efficient LM Tuning |
| 5/4 |
9 |
Data Augmentation with LLMs |
| 5/11 |
10 |
Training LMs with Human Feedback |
| 5/18 |
11 |
Bias & Toxicity in Large LMs |
| 5/25 |
12 |
Chain-of-Thought Prompting for LLMs |
| 6/1 |
13 |
ChatGPT API Usage |
| 6/8 |
14 |
Multimodal LMs |
| 6/15 |
|
기말고사 |