AI prompting strategies for legal work
Few-shot prompting
Few-shot prompting is a technique that helps guide large language models (LLMs) by providing a handful of examples to improve the accuracy and relevance of their responses. This approach strikes a balance between zero-shot prompting (which provides no examples) and fully supervised training (which requires extensive data). Few-shot prompting is particularly valuable when the user wants the model to generate responses that follow a specific format or tone.