IFT 6289 - Winter 2024

Job Description

As the only Teaching Assistant for this course, I contributed to the following:

• I designed three assignments for the course based on state-of-the-art researches and my own experience, all containing both coding and theoretical parts. The assignments cover word2vec, RNN-based machine translation and pretrained language models (PLM).
• I developed the autograder for all coding assignments.
• I reviewed and corrected all of students’ theoretical assignments.
• I provided feedback on students’ course projects.
• I delivered 2 lectures on PyTorch basics and prompting and instruction tuning.

Course Website

For more description of the course, please refer to IFT6289 - Natural Language Processing with Deep Learning.