AI Dictionary
Prompt Engineering
Definition
The practice of designing inputs for AI models to produce optimal outputs.
Deep Dive
Prompt engineering is the specialized practice of designing and refining inputs, known as "prompts," for artificial intelligence models, particularly generative AI like large language models (LLMs) and text-to-image generators, to achieve optimal and desired outputs. It's both an art and a science, involving a deep understanding of how these AI models process information and respond to different kinds of instructions, context, examples, and constraints. The goal is to maximize the model's performance for specific tasks, ensuring the AI generates relevant, accurate, coherent, and appropriately formatted responses.
Examples & Use Cases
- 1Crafting a detailed prompt for a GPT model to generate a marketing email for a new product with a specific tone and call to action
- 2Designing a prompt for an image generation AI to create "a cyberpunk city at sunset, highly detailed, oil painting style"
- 3Formulating a prompt for a coding assistant to write a Python function that sorts a list of dictionaries by a specific key, including error handling
Related Terms
Generative AILarge language models (LLMs)AI alignment