AI terminology

Introduction

What are some of the basic Co-Pilot AI terminology?

Instructions

Core Copilot Terms

  • Copilot: An AI assistant designed to augment human capability by helping with tasks, providing insights, and boosting productivity. It is a collaborator, not a replacement, for the human user.

  • Prompt: The text, audio, image, or other input you send to the copilot to ask a question or give a command.
  • Response: The output that the copilot generates in response to your prompt.
  • Creations: Original content or works of art created by the copilot in response to a prompt.
  • Your Content: The prompts and responses that are part of your conversations with the copilot.
  • Actions: Automated tasks a copilot performs on the user's behalf.
  • Embedded copilot: A copilot integrated directly into a software product, like Microsoft 365, to aid in using that specific product. 

Related AI and technology terms

  • AI Agents: Specialized AI tools built to handle specific processes or solve business challenges. A copilot can act as the user-facing interface for these agents, explains Microsoft.
  • Foundation Models: Large AI models trained on vast datasets, which form the basis for many copilots.
  • Generative AI: A type of AI that can create new content, such as text, code, or images, in response to prompts.
  • Large Language Models (LLMs): A specific type of generative AI model trained on massive amounts of text data.
  • Responsible AI (RAI): A set of norms and standards for the safe and secure use of AI, which Microsoft uses to guide its copilot development.