Response Time

The underlying goal or desired outcome a user aims to achieve when interacting with the AI Assistant. Understanding user intent is essential for the AI to generate relevant responses or perform appropriate tasks.

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.

The information retained from previous interactions that the AI Assistant uses to maintain continuity and relevance in ongoing conversations. Context helps the AI tailor its responses to align with past user inputs.

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.

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

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.

GPT stands for "Generative Pre-Trained Transformer". This term encapsulates the core functionalities and architecture of an AI model . This type of AI model is used for natural language processing and is capable of generating human-like text based on extensive data training.

The medium through which users interact with the AI Assistant. Common interfaces include text-based chat windows, voice command interfaces, mobile applications, and code-based integrations (called APIs).