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Three AI Terms Every Professional Should Understand in 2026

By Swiss AI Master · 21 May 2026 · 4 min read
Abstract representation of language and data connecting, illustrating AI concepts

Understanding AI is no longer optional — it's becoming basic professional literacy. Here are three terms worth knowing.

1. LLM (Large Language Model)

An LLM is the technology behind tools like ChatGPT and Claude. It generates text by predicting what comes next, based on patterns learned from vast amounts of data. When you "chat" with an AI assistant, you're interacting with an LLM.

2. Prompt engineering

Prompt engineering is the skill of asking an AI the right way to get genuinely useful results. The same question, phrased two different ways, can produce a mediocre answer or an excellent one. It's a learnable skill — and increasingly a valuable one.

3. AI agents

An AI agent doesn't just answer questions — it takes actions and completes multi-step tasks on your behalf. Booking, researching, organising, drafting: agents move AI from "advice" to "doing".

Understanding these isn't a niche interest anymore. It's part of being a capable professional.

All three — and a great deal more — are covered in depth across the 28 days of the Swiss AI Master programme.

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#ArtificialIntelligence #AIEducation #FutureOfWork

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