Prompt Engineering
Learn to harness advanced prompting techniques—from n-shot and chain-of-thought to role prompting.
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Introduction: Talking to machines that think
Imagine teaching a robot how to bake a cake, but it only understands riddles. You have to phrase every instruction just right. That’s what prompting is all about. It’s how we “talk” to large language models (LLMs) to get precise, useful, or creative responses.
Prompting is not coding, but it feels somewhat similar to it. Instead of writing functions, we craft natural-language instructions that guide AI behavior. This new interface between humans and machines—where plain text becomes a programming language: has given rise to a new discipline: prompt engineering.
At the core of this shift is a simple truth: prompting is the human layer on top of massive pretrained systems. Data scientists train the foundation models; engineers integrate them into products; but prompt engineers make them behave—turning raw intelligence into task-specific performance. The difference between a mediocre and a brilliant AI output often comes down to how you ask the question.
What is n-shot prompting?
One of the most foundational is n-shot prompting, which ...