In the fast-moving field of Generative AI in Artificial Intelligence, particularly with the advent of large language models (LLMs) such as GPT-4, prompt engineering has become a crucial aspect of delivering the desired customer experience (CX). One of the most effective yet often overlooked techniques in prompt engineering is the use of hidden prompts, also known as system prompts. These hidden prompts play a crucial role in guiding the model's output, ensuring efficiency, consistency, context awareness, and alignment with the intended user experience.

What Are Hidden Prompts?

Hidden prompts are predefined instructions embedded within the interaction setup of an LLM. Unlike user-visible prompts, these instructions are not shown to the end-user but are crucial in shaping how the model governs, interprets, and responds to the user's requested inputs. Hidden prompts help set the stage, establish context, define the constraints with which the LLM functions, and also role play to adapt to domains and use cases.