Duration: 2 days
Level: Basic
Venue: Singapore University of Social Sciences Campus or SUSS Academy
Generative AI (Artificial Intelligence) has quickly taken the world by surprise with the introduction of OpenAI’s ChatGPT (Generative Pre-training Transformer) for the masses in Nov 2022. It has opened many opportunities for different industries to transform and grow. In this course, we will introduce what large language models (LLMs) are and how they work. This course will provide participants with the knowledge on LLMs’ potentials and how to effectively use prompt engineering to interact with ChatGPT models.
A plethora of different ChatBots (a software application or web interface that is designed to mimic human conversation) will be explored, and valuable insights can be drawn from how these ChatBots are designed and tuned to achieve desirable outcomes. From learning to formulate effective prompts to interact with the ChatGPT models and optimizing the desired responses depending on the different purposes of the ChatBots, the course participants will learn to design Chat Bots tailored for their specific industry needs.
Managers, Professionals and Advisors interested in understanding and implementing ChatBots for their specific industry needs.
- Basics of Large Language Models (LLMs)
- Write Effective Prompts
- Build a ChatBot
Objectives
Upon completing the course, participants will:
- To learn the basics of prompt engineering.
- To use prompt engineering on LLMs to build applications.
- To develop a ChatBot that can respond to customers’ queries.
A. Knowledge and Understanding (Theory Component)
By the end of this course, participants should be able to:
- Explain how LLMs work.
- Describe how prompt engineering can be applied to build applications.
B. Key Skills (Practical Component)
By the end of this course, participants should be able to:
- Design a ChatBot based on specific requirements.
- Demonstrate how prompt engineering can be used for different applications.
- Construct a simple ChatBot.
- Implement a ChatBot that can respond to customers’ queries.
| Time | Agenda |
|---|
| Day 1 |
| 0900 - 0930 | Course Overview
|
| 0930 - 1030 | Introduction to Large Language Model & ChatBots
|
| 1030 - 1045 | Break |
| 1045 - 1200 | Prompt Engineering (Iterative, Summarising & Inferring) |
| 1200 - 1300 | Lunch |
| 1300 - 1530 | Prompt Engineering (Transforming & Expanding) |
| 1530 - 1545 | Break |
| 1545 - 1700 | Construct a Simple ChatBot |
| Day 2 |
| 0900 - 0930 | Course Overview
|
| 0930 - 1030 | LangChain
|
| 1030 - 1045 | Break |
| 1045 - 1200 | ChatBot interacts with your own documents and data |
| 1200 - 1300 | Lunch |
| 1300 - 1530 | Design a ChatBot for Customer Service (To answer customers’ queries and make recommendations to customers) |
| 1530 - 1545 | Break |
| 1545 - 1700 | Design a ChatBot to help students learn better in a particular subject (To scaffold the student’s learning) |
- Attendees should have a basic understanding of Python programming.
- Attendees must bring along their own laptop.
June Tay
Associate Professor
Assoc Prof June Tay is the Head of the Digital Media Programme which she developed at Singapore University of Social Sciences (SUSS). Prior to joining SUSS, she taught various ICT and electronic courses for various university programmes. She has a good working knowledge of communications networks, and she worked on Singapore Broadband Network project in IDA.
As a research scientist with British Telecommunications in UK after her PhD, she had achieved 6 granted patents in computer networks and security and had an IETF RFC. Her MSc study on communications for deep ocean lander was fully sponsored by Motorola UK and University of Aberdeen. Her PhD study on satellite communications protocols for SkyNet 5 military satellite, was fully sponsored by the UK Defence Ministry. She received her MBA from Essec Business School and Mannheim Business School. Her current research interests are in computer vision and computer networks.
Please submit the following documents to [email protected]:
- Coloured copy (back and front) of NRIC for Singaporeans and PRs, or "Employment"/"S" Pass for foreign applicant
- Application form
Course Fee
1 Mid-Career Enhanced Subsidy: Singaporeans aged 40 and above may enjoy subsidies up to 90% of the course fees.
2 Enhanced Training Support for SMEs: SME-sponsored employees (Singaporean Citizens and PRs) aged 21 and above may enjoy subsidies up to 90% of the course fees.
- Participants are required to achieve at least 75% attendance and pass any prescribed examinations/assessments or submit any course/project work (if any) under the course requirement.
- Participants are required to complete all surveys and feedbacks related to the course.
- The course fees are reviewed annually and may be revised. The University reserves the right to adjust the course fees without prior notice.
- Singapore University of Social Sciences reserves the right to amend and/or revise the above schedule without prior notice.
For clarification, please contact the SUSS Academy via the following:
Telephone: +65 6248 0263Email:
[email protected]