AI Day 2023

• A friendly introduction to ChatGPT – no mathematical equations involved!  
• What is ChatGPT? What are the latest advances in large language models (LLMs)?
• What are the potential benefits and risks to humanity?

Instructor: Prof Ndapa Nakashole

• Delve into the technical principles behind language models.
• Understand the advancements that gave rise to ChatGPT
• Ideal for those with some knowledge of probability concepts

Instructor in person: Prof Ndapa Nakashole

Instructor 2: Prof Raphael Flauger’s recorded lectures from the previous year will be provided for anyone wishing to refresh their understanding of probability.

• Prior to the event: We strongly recommend watching the following one hour lecture: “LangChain: Chat with Your Data“, find it at: https://www.deeplearning.ai/short-courses/
• During the event: join the in-person session centered on coding exercises on prompt-engineering and ChatGPT exploration. We will be using Python (beginner level Python)

Instructors in person: Prof Ndapa Nakashole and Prof Raphael Flauger

This is a great Python tutorial for those seeking to refresh their Python prior to the day.

Morning Session

• 9.30 – 10.00am: Meet-and-greet
• 10.00 – 10.15 am: Opening Address (Prof. Frednard Gideon, Pro Vice Chancellor, UNAM)
• 10.15 – 11am: ChatGPT in a Nutshell (Ndapa Nakashole, Asst Prof. University of California, SD)
• 11.00 – 11.30am: Tea & Coffee Break
• 11.30 – 12.30pm: Understanding the Mechanisms behind ChatGPT (N. Nakashole)

• 12.30 – 1.30pm: Lunch Break

Afternoon Session

• Exercises folder
• 1.30 – 2pm: Coding Prep (N. Nakashole & Raphael Flauger, University of California, SD). Before the event, we strongly recommend watching the following one hour lecture: “LangChain: Chat with Your Data” find it at: https://www.deeplearning.ai/short-courses/
• 2.00 – 3.30pm: Hands-On Python Programming (N. Nakashole & R. Flauger)
• 3.30 – 4pm: Tea & Coffee Break
• 4 – 5pm: Concluding Coding Activities and Certificate Presentation
• 5 pm – : informal session on (US) graduate school applications (N. Nakashole & R. Flauger)