Artificial Intelligence in the Wild
Namib AI Winter School 2024
Four days to learn and generate ideas in the quiet natural beauty of Namibia, focused on the technical advances and applications of Language Models (LMs), an increasingly powerful form of AI.
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Schedule
Four days in the wild
Day 0
Wed, July 24
Arrival
Evening
Arrival & welcome dinner
Day 1
Thu, July 25
07:00–09:00
Breakfast
09:00–09:10
Opening remarks: Ndapa Nakashole
09:10–09:30
Welcome address: Andreas Tomek
09:30–11:00
Lecture 1A: Noah Smith (foundations of LLMs)
11:00–11:30
Coffee break
11:30–12:30
Lecture 1B: Ndapa Nakashole (transfer learning, adapting LLMs to different tasks)
12:30–14:00
Lunch break
14:00–15:00
Hands-on session: Nakashole
15:00–15:30
Tea break
15:30–16:30
Lecture 1C: Raphael Flauger (generative AI for images, diffusion models)
19:00–20:30
Dinner
Day 2
Fri, July 26
07:00–09:00
Breakfast
09:00–10:30
Lecture 2A: Noah Smith (foundations of LLMs)
10:30–11:00
Coffee break
11:00–12:30
Lecture 2B: Ndapa Nakashole (interpretability of representations learned for transfer learning)
12:30–14:00
Lunch break
14:00–15:30
Hands-on session: Nakashole
15:30–16:00
Tea break
16:00–17:00
Applying to graduate school (Q&A session)
19:00–20:30
Dinner
Day 3
Sat, July 27
Departure
07:00–09:00
Breakfast
09:00–09:30
Session 3A & closing remarks
Midday
Departure
Instructors
Who taught
Noah Smith
Amazon Professor of Machine Learning, Paul G. Allen School of Computer Science & Engineering, University of Washington
Foundations of LLMs
Ndapa Nakashole
Associate Professor of Computer Science, Jacobs School of Engineering, University of California, San Diego
Transfer learning & interpretability
Raphael Flauger
Associate Professor of Physics, University of California, San Diego
Diffusion models
Photos
From the school
Photo coming soon
Photo coming soon
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