Differences Between AI Model and AI Agent
Differences Between AI Model and AI Agent
Let’s understand the difference between AI model and AI Agent in this post. For beginners, the terms “AI Model” and “AI Agent” can be confusing. Though they sound similar, they serve different roles in the world of AI.
Let’s explore what they mean and how they differ.
AI Model
An AI Model is a mathematical representation that learns patterns from data. It is trained using machine learning algorithms to make predictions or decisions based on input. Once trained, an AI model processes data and gives outputs, like recognizing faces or translating languages.
AI Agent
An AI Agent is a system that interacts with its environment autonomously to achieve goals. It uses AI models, sensors, and decision-making logic to take actions based on observations. An AI Agent not only makes predictions but also decides what to do next, such as navigating a robot or responding in a chatbot.
AI Model vs AI Agent
| AI Model | AI Agent | |
|---|---|---|
| Definition | A trained mathematical system that makes predictions. | A complete system that perceives, decides, and acts. |
| Function | Processes input and produces output. | Interacts with an environment to achieve goals. |
| Components | Only includes the model (e.g., neural network). | Includes models, sensors, logic, and actuators. |
| Example | Image classifier trained to identify cats and dogs. | Self-driving car that observes roads and navigates traffic. |
| Autonomy | Requires external system to use it. | Can act independently based on goals. |
