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The amount of time it takes for the AI Assistant to generate a response after receiving a prompt.
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.
Input provided in everyday conversational language, as opposed to structured commands. The AI Assistant processes natural language input, allowing users to communicate without special formatting or technical instructions.
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.
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.
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.
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.
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.