Conversation History

The output generated by the AI Assistant and returned to the user. Responses are tailored to the specificity or generality of the user's prompt, ensuring relevant and accurate output.

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 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.

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 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.

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.

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.