Response Time

The input provided by the user to the AI Assistant, which can take the form of a question, command, statement, or instruction. Prompts guide the AI Assistant's actions by serving as the primary input for generating responses or performing tasks.

A non-verbal response provided by the AI Assistant, which includes the display of data, charts, images, or other visual elements. A visual response is often used to complement verbal or text-based responses, helping users better understand complex information.

A series of interactions between a user and the AI Assistant, typically involving multiple related tasks. The AI Assistant uses context from previous exchanges to maintain coherence and respond appropriately as the chat progresses. During a chat, the user might request the assistant complete multiple tasks such as planning an itinerary or researching restaurants, all within the same thematic context.

The amount of information within a conversation the AI Assistant can retain at any given time. The size of the context window varies depending on the AI’s design and capabilities. In many AI systems, the context window is measured in tokens, which determine how much of the conversation the AI can reference at once.

An AI system designed to assist users in managing tasks, retrieving information, or facilitating conversations. AI Assistants are commonly integrated into workflows to enhance productivity and efficiency by offering consistent, real-time support.

An agent is a component of the AI system responsible for interpreting user input and executing tasks or actions in response. Agents can handle a variety of tasks, from answering questions to performing specialized actions like sending notifications or analyzing data. Agents work within the broader AI system, often interacting with other components like databases or user interfaces to deliver seamless user experiences.

A record of the conversation between the user and the AI, which can be referenced for continuity.

A process where the user adjusts or rephrases their prompt to obtain a more accurate or relevant response from the AI Assistant. Refinement helps the AI better understand the user's specific needs, ensuring that the output aligns more closely with the desired outcome.