Zero-shot prompting
Zero-shot prompting is a technique in natural language processing where a model is given instructions or queries without prior examples, enabling it to perform tasks it was not explicitly trained on. This approach leverages the generalization capabilities of large language models to interpret and respond to new prompts directly.