Academics
2023-2024 | 2022-2023 | 2021-2022 | 2020-2021 | 2019-2020
It is the duty of every scientist to pay back research debt. Our approach is through teaching and mentorship. We are a group of student researchers (who love to teach!), curating academic content to create the next generation of students passionate about ML!
We tackle the hottest AI topics such as Large Language Models (LLMs), Reinforcement Learning (RL), and Diffusion Models (DMs), presenting them in an inspiring, intuitive, and easy-to-digest manner for a wide audience of students.
Large Language Model Acceleration Program
Instructor: Ziwen Han, VP Academics
Location: Bahen
Are you intrigued by Large Language Models and cutting-edge AI technology? Are you eager to delve deeper into these fields but unsure of where to begin? Do you want to stay updated on the latest topics and connect with like-minded peers? If so, we invite you to join us for a series of enlightening LLM Acceleration Program in the upcoming Fall semester led by the Academics Department at UTMIST!
We received over 300 registrations for our pilot program! This series may be brought back in 2024 by popular demand.
Timeline
| Date | Topic | Content |
|---|---|---|
| 2023/09/21 | Week 1: Foundation Models | Slides |
| 2023/09/28 | Week 2: Large Language Models | Slides |
| 2023/10/05 | Week 3: Controlling Large Language Models | Slides |
| 2023/10/12 | Week 4: Safe and Trustworthy LLMs? | Slides |
Machine Learning for Beginners!
Office Hour Instructor: Mason Hu, Academic Director
Workshop Instructor: Harry Wang, Academic Director
Location: Zoom
By popular demand, our Academic Directors have kindly created a series of 6 introductory lectures & hands-on workshops. You will learn the basics of deep learning (backpropagation, basics of neural networks, PyTorch).
Timeline
| Date | Topic |
|---|---|
| 2023/10/25 | Week 1: Gradient descent & neural networks |
| 2023/11/01 | Week 2: [Workshop] Introduction to PyTorch |
| 2023/11/15 | Week 3: Techniques for stable deep learning |
| 2023/11/22 | Week 4: [Workshop] PyTorch modules, torchvision, and optimizers |
| 2023/11/29 | Week 5: Popular neural networks for vision |
| 2023/12/06 | Week 6: [Workshop] Building & training a neural network from scratch |
Mentorship 2023
Coordinator: Gabriel Wu, AVP Academics
Location: Hybrid
We offer a dynamic mentorship program, pairing senior students with junior students in a curriculum-based series based on interests in ML industry or research. All mentees and mentors have been matched!
Immersion Day 2023
Stay tuned for an exciting half-day event Saturday, November 25 in Bahen! We have several keynote speakers from the Vector Institute, collaborations with other tech clubs at U of T, and workshops from our very own Academic Directors in RL and Diffusion Models!
Open Positions
We currently don’t have Academics openings. Check back later!
We currently don’t have Research openings. Check back later!
