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
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