Response Time

A method of communication where the user interacts with the AI Assistant using spoken commands, typically through a device’s microphone. Voice interaction relies on speech recognition technology to interpret the user's spoken inputs and respond accordingly.

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.

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 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.

Deep research is AI-driven approach to gathering, analyzing and consolidating mass amounts of data across the web, documents, and other sources to deliver a comprehensive report. Deep Research is similar to having an AI research assistant or analyst, which uses an LLM built on AI reasoning to develop and execute a research plan for you.

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.

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 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.