Thammasat University
Name: Nutchanon Yongsatianchot (Nut)
ชื่อ: ณัฐชนน ยงเสถียรโชติ (นัท)
email: [email protected]
Office hours: Friday 9:45 - 12:00
Class Time: Wednesday 13:30 - 16:30
Classroom: EGR603-1
The course will survey the recent emerging technologies in Generative Artificial Intelligence. The topic includes large language models, Prompt Engineering, Retrieval Augmented Generation, and Image Generation Models. The course will cover several case studies, including storytelling, user experiences, code assistance, and knowledge assistance.
Date | Topic | Video | Homework | HW Deadline |
---|---|---|---|---|
14th August | Introduction to Gen AI | Video | HW1 (5 points) | 20th Auguest |
21th August | LLM Basic | Video | HW2 (5 points) | 3rd September |
28th August | Prompt Engineering | Video | HW3 (10 points) | 10th September |
4th September | Evaluation | Video | ||
11th September | Information Retrieval and RAG | Video | HW4 (10 points) | 24th September |
18th September | Visual Language Models | Video | ||
25th September | Tool-use and Text-to-Image Models | Video | HW5 (10 points) | 11th October |
2nd October | Project Proposal | |||
9th October | AI Agents | Video | ||
16th October | Case study: Story telling and roleplay | |||
23th October | Case study: Coding Assistant | |||
30th October | Safety | Video | ||
6th November | AI and UX, LLM frameworks | Video | Progress Report | |
13th November* | Open Source Text-to-Image Models | HW6 (5 points) | ||
20th November | Frontier (Search) & AI and Humans (Society impact) | Video | In-class Discussion | |
27th November | Final Project Presentation |
*I'm out of town.