Lectures: MWF 1:30pm-2:20pm @📍CSE2 G20
The bloom of Large Language Models (LLMs) has brought a starring breakthrough to Natural Language Processing (NLP). In this course, students will delve into the conceptual and technical advances of frontier LLM-based NLP technologies, revolutionizing classical computational linguistics and NLP fields.
Instructor: Yejin Choi
Office: Allen 578
Office hours: Monday 3:45pm - 4:30pm
Email: [email protected]
TA office hour schedule can be found here.
Lead TA: Liwei Jiang
TA: Melanie Sclar
TA: Muru Zhang
TA: Alisa Liu
TA: Skyler Hallinan
TA: Khushi Khandelwal
TA: Jiacheng (Gary) Liu
TA: Yegor Kuznetsov
TA: Taylor Sorensen
TA: Jaehun Jung
TA: Ximing Lu
TA: Oscar Liu
Contacting all course staff: [email protected]
🚨 Announcement
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📢 [March 11, 2024] The final project report, final poster file, and course reflection essays are all due 11:59pm PT, March 15, 2024!
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🗓️ Schedule / Syllabus (warning: subject to change 🌪️)
Schedule
🏆 Coursework ****
- Assignment: There are 4 mandatory assignments with a mixed of coding, problem set, or writing exercises. There is also an optional extra-credit assignment 0 that is designed to review neural networks basics. Each student is expected to submit their own assignments, but study groups are allowed. See policies of study groups and collaborations here.
- Final Project: There's also a final project that you'll be working on throughout the quarter. You are strongly encouraged to form teams of 3-4 students for the final project. Larger groups are expected to deliver larger projects.
- Late Days: You will have 10 penalty-free late days in total (max 4 late days per assignment). Any delayed submission after the first 4 days will be penalized 10% per day for that specific assignment (but will not count towards your used late days). For the final project, late days will be applied to all members in the project teams. Note that the late days DO NOT apply to final poster presentation and final report.
- Deadlines: All deadlines are 11:59pm PT.
- Submission & Grading: Please submit your assignments to Gradescope. If you haven't signed up an account yet, please use your @uw.edu email to sign up. Grades will be released via Gradescope too.
- Detailed guidelines, rubrics, and policies of assignments can be found here.
Assignments (57%)
- Assignment 0 (Optional, +1% Extra Credit): release Jan 3, due Jan 10
- Assignment 1 (14%): release Jan 10, due
Jan 24 ⇒ extended to Jan 26
- Assignment 2 (15%): release Jan 26, due Feb 9