With ChatGPT, neural networks have had their Lisp moment. Conversation has become code and the model is the CPU for this ultimate programming language. A new universe of App development has opened up, and there are no guides for it, yet. This is a project course designed to explore the space of Apps built around LLMs, starting by playing with them, learning their limitations, and then applying a set of techniques to program them efficiently and effectively. Assignments are due on a two week "sprint" cadence to mimic a startup style environment. Guest lectures by area experts provide industry perspective.
Topics include:
| 👨🏫 Instructor | Jan Jannink ( jan at cs)
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| 👨🏫 Instructor | John Whaley ( jwhaley at cs)
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| 👨🏫 TA | Elyas Obbad ( eobbad) |
| 🧑🏾🏫 TA | Gautham Raghupathi ( gautham) |
| 👩🏻🏫 TA | Luci Bresette ( lucib)
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| 🕒 Time | Tue, Thu 10:30am-12:00pm |
| 🏫 Location | 370-370 |
| 💳 Credits | 3 units |
| Jan Jannink | Wed 1:00pm-3:00 pm, Thornton Center 208 |
| John Whaley | Thurs 11:50am-1:00pm, 370-370 |
Lectures: Tuesday/Thursday 10:30am-12:00pm in person in 370-370. Attendance is mandatory.
Recordings: The class is not recorded or available via Zoom.
Slides: can be found on the Schedule and in the lecture slides folder on Canvas.
Contact: Students should ask all course-related questions on Slack, where you will also find announcements. For external inquiries, personal matters, or in emergencies, you can send an email to our staff email cs224g-win2324-staff@lists.stanford.edu
Academic accommodations: If you need an academic accommodation based on a disability, you should initiate the request with the Office of Accessible Education (OAE). The OAE will evaluate the request, recommend accommodations, and prepare a letter for the teaching staff. Once you receive the letter, send it to the course staff email at cs224g-win2324-staff@lists.stanford.edu. Students should contact the OAE as soon as possible since timely notice is needed to coordinate accommodations.
Audit Requests: To audit the course, please send an email to course staff email at cs224g-win2324-staff@lists.stanford.edu, with the subject line "audit cs224g request."
Course Participation: In-class attendance and participation are an essential part of the course. We allocate 10% of the course grade to class participation, which is important to make the most out of the course. In addition, project teams will make in-class presentations every other Thursday, which is an additional 45% of the course grade. Contributions in helping others on Slack will be awarded with bonus points.
Prerequisites: Python Programming, CS111, at least one 140 or 220 course (CS 140, CS 142, CS 143, CS 145 or CS 221, CS 229)
Grading is according to the following scheme: