Few-shot prompting is a term used in artificial intelligence and plays a particularly important role in modern language models such as ChatGPT. It refers to how an AI system learns to solve a certain task or create texts in a desired way with just a few examples.
Instead of requiring many thousands of training data, a handful of examples in the so-called "prompt" is often sufficient for few-shot prompting. The AI recognises patterns, transfers them to new tasks and provides suitable answers.
For example, you could show an AI three short texts on how product descriptions for shoes should look. You then give it a new type of shoe and the AI automatically generates a suitable description in the same style. This saves companies time and effort because they don't have to provide countless text examples or reprogram programmes at great expense.
Few-shot prompting makes artificial intelligence more flexible and opens up new possibilities for using it in everyday work - from quickly generating text to analysing information. This technology is particularly helpful in digital marketing or when automating routine tasks.
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