Glossary

A branch of computer science focused on creating systems or machines that can perform tasks typically requiring human intelligence. These tasks include learning, reasoning, problem-solving, perception, and language understanding.

A software entity that can perform certain tasks independently and proactively without the need for human intervention. An AI agent can autonomously perceive its environment through sensors, processes information, and takes actions to achieve specific goals. 

They can range from simple automated systems to advanced entities capable of learning, adapting, and making decisions based on data.

It is the framework that defines the components and their interactions within an AI system, enabling it to perform tasks requiring human-like intelligence. This includes modules for data processing, learning algorithms, decision-making mechanisms, and communication interfaces.

Though subject to debate, ASI is a hypothetical form of AI that surpasses human intelligence across all domains, including creativity, general wisdom, and problem-solving.

Explore: AI Agent Builders

A type of AI that possesses the ability to understand, learn, and apply knowledge across a wide range of tasks at a level comparable to human intelligence. AGI systems are designed to perform any intellectual task that a human can do, rather than being limited to specific, pre-programmed tasks.

Assumptions made by an AI model about the data leading to unfair or prejudiced outcomes. Bias can arise from various sources, including biased training data, flawed algorithms, or human prejudices embedded in the system.

A large-scale AI language model developed by OpenAI that generates human-like text.

A computer program designed to simulate human conversation through text or voice interactions. Chatbots can respond to text or voice inputs, providing information, answering questions, or assisting with tasks. They use natural language processing (NLP) to understand and generate responses.

Related: Chatbot AI Agents

The computational resources (like CPU or GPU time) used in training or running AI models.