[IA]Agent

Software that can reason about user inputs in order to plan and execute actions on behalf of the user. In reinforcement learning, an agent is the entity that uses a policy to maximize the expected return gained from transitioning between states of the environment.

In the context of generative AI, an agent is software that autonomously plans and executes a series of actions in pursuit of a goal, potentially in novel situations. Agents can be used in various applications, such as natural language processing, machine learning, and robotics. For example, an LLM agent uses a language model to evaluate the environment and choose an action to help it achieve its goal. LLM agents can be used to generate text, translate languages, and answer questions.

An autonomous entity which acts, directing its activity towards achieving goals (i.e. it is an agent), upon an environment using observation through sensors and consequent actuators (i.e. it is intelligent). Intelligent agents may also learn or use knowledge to achieve their goals. They may be very simple or very complex.