LLM Language Practice

A client sends you a machine translation to "just quickly check". It reads beautifully — natural rhythm, idiomatic phrasing, not a comma out of place. It is also wrong: a negation quietly dropped, a term rendered by its everyday cousin instead of the contractual one. With a human draft, clumsy language signals where the errors hide. Machine output breaks that heuristic — it is most fluent precisely where it may be most wrong. So where do you look first? Every module in this track sharpens the professional reflex that question demands.

Built for people whose profession is language — translators, interpreters, teachers, editors. Each module is a working session rather than a lecture: you put an LLM through real tasks — translating across languages, holding a dialect or a register, keeping terminology consistent across a long document — and learn to judge the output the way you would judge a human draft, minus the assumption that fluency signals competence. You build checking routines that target what these systems actually get wrong: negation, terminology, cultural context, the confident invention of details.

The later modules turn judgement into practice. Bias, risk and privacy come first — what happens to a confidential text pasted into a chat window, whose voice the model defaults to, and where the professional liability sits. Then strategy and workflow: which tasks to delegate, which to keep, and how to fold these tools into real work without lowering your standards to match theirs.

No mathematics is required anywhere in the track — the Orientation track covers the conceptual background in plain language if you want it. What is required is exactly what you already have: the trained ear that notices when a text is subtly off. This track teaches you to aim it at a new kind of author.