Refinement

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.

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.

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.

Refers to the level of detail in the AI Assistant's responses, which can range from very brief (Concise) to highly detailed (Verbose). The conversational style is adjustable to suit user preferences.

The emotional tone or mood conveyed by the AI Assistant in its responses. Examples of conversational tone include: