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AI Bootcamp
Transformers
February 3–7, 2025
Resnick Sustainability Center 120
Objective:
To equip participants with the tools and knowledge to understand, implement, and utilize transformer based models in their research or explore these concepts further through advanced courses or self-study.
Topics Covered:
- Introduction to Transformers and Attention Mechanisms
- Transformer Architectures (Encoder-Decoder, GPT)
- Vision Transformers
- Fine-tuning Transformers
- Applications of Transformers
Prerequisites
- Python Programming
- Machine Learning Basics and experience with ML frameworks such as PyTorch or TensorFlow
- Linear Algebra
- Multivariable Calculus
- Probability Theory
Registration:
Please take the pre-screening Quiz before 11:59 PM Pacific Time on Thursday Jan 30th
Registration URL: https://caltech.instructure.com/enroll/NTHPFE
Note: This bootcamp is open to Graduate Students, Post Docs, and Faculty
Contact:
Bootcamp director: Reza Sadri, rsadri@caltech.edu
Administrative assistant: Caroline Murphy
Deadline for Registration: January 30, 2025