每周課程進度與作業要求 Course Schedule & Requirements
- Week1 (9/5): Chap1 Introduction to Generative AI and Overview of Large Language Models (1/2)
- Week2 (9/12): Chap1 Introduction to Generative AI and Overview of Large Language Models (2/2)
- Week3 (9/19): 1st Term project presentation, Chap2 Transformer Architecture and Self-Attention Mechanism (1/2)
- Week4 (9/26): 助教第一次實驗(Assignment 1, 2) (記得帶筆電，課前下載實驗檔案) [自主學習三小時]
- Week5 (10/3): Class quiz#1, Chap2 Transformer Architecture and Self-Attention Mechanism (2/2)
- Week6 (10/10): 國慶日放假
- Week7 (10/17): Chap3 Evolution of Large Language Models: Self-Supervised Learning and Pre-training (1/2)
- Week8 (10/24): 光復紀念日補假
- Week9 (10/31): 繳交實驗(Assignment 1), 助教第二次實驗(Assignment 3) (此為加分題bonus), (記得帶筆電，課前下載實驗檔案) [自主學習三小時], Chap3 Evolution of Large Language Models: Self-Supervised Learning and Pre-training (2/2)
- Week10 (11/7): Chap4 Evolution of Large Language Models: Supervised Fine-tuning and Reinforcement Learning (1/2)
- Week11 (11/14): Class quiz#2, Chap4 Evolution of Large Language Models: Supervised Fine-tuning and Reinforcement Learning (2/2)
- Week12 (11/21): Chap5 Prompt Engineering - Optimizing User Inputs (1/2)
- Week13 (11/28): Chap5 Prompt Engineering - Optimizing User Inputs (2/2)
- Week14 (12/5): 繳交實驗(Assignment 2), Chap6 Principles of Image and Video Generation (1/2)
- Week15 (12/12): Class quiz#3, Chap6 Principles of Image and Video Generation (2/2)
- Week16 (12/19): 繳交實驗(Assignment 3) (此為加分題bonus), 2nd Term project presentation
附註：
課程內容與指定閱讀：上課投影片
教學活動與作業：[Week 1-16] 老師授課、助教實習及測驗含線上教材自主學習
學習投入時數（含課堂及課程前後）：3小時 (4.5小時)