Hyopil Shin (Dept. of Linguistics, Seoul National University)
hpshin@snu.ac.kr
http://knlp.snu.ac.kr/
T.A:
ChatGPT
(http://www.theverge.com/2016/3/11/11208078/lee-se-dol-go-google-kasparov-jennings-ai)
Date | Topics | Related Materials and
Resources |
PyTorch |
|
1 | 3/3-3/6 |
Introduction to Natural Language Processing
Language Modeling 1- Statistical Language
Modeling: N-Grams |
Introduction to Natural
Language Processing
Language Modeling and with N-Grams |
PyTorch: |
2 | 3/10-3/15 | Language Modeling
1- Statistical Language Modeling: Entropy and Maximum
Entropy Models |
Entropy is a Measure of Uncertainty | |
3 | 3/17-3/21 | Text Classification |
Text Classification |
|
4 | 3/24-3/28 | Vector Semantics Language Modeling II: Static Word Embedding
|
Vector Semantics and Embeddings | PyTorch: Linear Regression With PyTorch Logistic Regression With PyTorch |
5 | 3/31-4/4 | Language Modeling II:
Static Word Embedding |
Vector Semantics
and Embeddings |
PyTorch:
|
6 | 4/7-4/11 |
Sequence to Sequence
Model: Encoder-Decoder |
PyTorch:
|
|
7 | 4/14-4/18 | Attention
Model Neural Machine Translation By Jointly Learning to Align and Translate
|
Attention: Illustrated Attention | PyTorch:
|
8 | 4/21-4/25 | Language
Modeling III:
Transformer Self Attention: Attention is All you need |
PyTorch: |
|
9 |
4/28-5/2 | Language
Modeling III:
Transformer Self Attention: Attention is All you need |
|
|
10 |
5/5-5/9 |
Language
Modeling III: - Masked Language Models - Auto-regressive Language Models |
Masked Language Models |
|
11 | 5/12-5/16 |
Transformers by
Huggingface: |
|
|
12 | 5/19-5/23 | Language
Modeling IV:Large
Language Models (LLMs)
|
||
13 | 5/26-5/30 | Language
Modeling IV:Large
Language Models (LLMs)
|
|
|
14 | 6/2-6/6 | Model Alignment, Prompting, and In-Context Learning |
|
DaG(David and Goliath Large Language Model) |
15 | 6-9/6-13 | Final Test and Project Presentations |