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The amount of time it takes for the AI Assistant to generate a response after receiving a prompt.
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).
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.
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.
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.
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 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.
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.