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We use AI (large language models) to help review submissions and draft changes to this website. AI is a tool, not an authority: it can be wrong, and a human maintainer reviews every change before it is merged. This page explains where AI is used and what to watch out for.
/dsh (or /deepseek) on an issue or pull request — see
Contributing.
Running the AI assistant costs money in model API usage, which the maintainers currently cover themselves. If you or your organization would be willing to sponsor an API key, we would be very grateful — please open an issue to get in touch. Sponsorship only helps cover the assistant's running costs; it buys no influence over the data or the rankings.
AI-generated content may contain errors. Always verify against a primary source before relying on it.
Typical failure modes include:
Even a correct figure may be outdated, or may describe fewer than 80% of students. Treat every entry as a starting point and check the linked source. See Data & Methodology for how each figure is defined.
Treat every figure here as unverified. Stipends, fees, and living costs are user-submitted or estimated, and entries may have been drafted or edited with AI assistance. Numbers can be wrong, stale, or describe fewer than 80% of students. Before acting on any figure, confirm it against the department's own funding page, handbook, or offer letter — use this site to ask better questions, not to get final answers.
Please report it. Open an issue or a pull request with the correction and a primary source — public reports are the fastest way to get AI-generated errors fixed. See Contributing for details; the maintainers will not respond to private messages sent to their personal or university accounts.