| Relevance of Course Objectives and Core Learning Outcomes(%) |
Teaching and Assessment Methods for Course Objectives |
| Course Objectives |
Competency Indicators |
Ratio(%) |
Teaching Methods |
Assessment Methods |
| 讓學生了解時下最新穎的巨型語言模型以,並應用這些巨型語言模型於目前自然語言處理的研究議題。 |
| 1.Professional Knowledge and Practical Application |
| 2.Independent Analysis |
| 3.Innovative Research |
|
|
| topic Discussion / Production |
| Discussion |
| Lecturing |
|
| Oral Presentation |
| Internship |
|
| Course Content and Homework/Schedule/Tests Schedule |
| Week |
Course Content |
| Week 1 |
課程簡介 |
| Week 2 |
Recurrent Neural Networks (RNN) (採非同步遠距教學) (作業1) |
| Week 3 |
RNN-based Sequence-to-sequence Model (1) (採非同步遠距教學) |
| Week 4 |
RNN-based Sequence-to-sequence Model (2) (採非同步遠距教學) |
| Week 5 |
RNN-based Sequence-to-sequence Model (3) (採非同步遠距教學) (作業2) |
| Week 6 |
Paper Presentation (1) |
| Week 7 |
Paper Presentation (2) |
| Week 8 |
BERTology (1) (採非同步遠距教學) |
| Week 9 |
BERTology (2) (採非同步遠距教學)(作業3) |
| Week 10 |
BERTology (3) (採非同步遠距教學)(作業4) |
| Week 11 |
GPTology(1) |
| Week 12 |
GPTology(2)(作業5) |
| Week 13 |
LLaMA(1) |
| Week 14 |
LLaMA(2)(作業6) |
| Week 15 |
專題演講 |
| Week 16 |
Term Project Demo
1. Term Project的形式為參與教育部舉辦之AI Cup競賽
2. 競賽網站會提供該題目的一些相關知識的教學影片
3. 競賽網站:https://www.aicup.tw/ |
self-directed
learning |
03.Preparing presentations or reports related to industry and academia.
|
|
| Evaluation |
作業: 30%
Paper presentation: 30%
Term Project: 40% |
| Textbook & other References |
|
| Teaching Aids & Teacher's Website |
| ilearning |
| Office Hours |
| Mon. 14:00 ~ 16:00 |
| Sustainable Development Goals, SDGs(Link URL) |
| include experience courses：N |
|