Glossary

The Llm Alignment refers to the strategy for training and testing Large Language Models, guaranteeing safety and handling diverse inputs to prevent misleading activity.

An AI Accelerator is a specialized hardware unit designed to speed up AI applications. Examples include GPUs, TPUs, and FPGAs. Discover more about their areas of application and benefits.

Agents in Artificial Intelligence (AI) are autonomous entities that perceive and act upon their environment to achieve goals. Applications include personal assistants, robotics, gaming, business automation, and healthcare.

Agent Architecture” refers to the arrangement and interplay of components within intelligent control systems or software agents, often known as cognitive structures in smart agents.

Affective Computing is a field focusing on creating systems that understand, interpret, and simulate human emotions. It’s key for fostering intuitive interactions between humans and machines.

Discover the world of adversarial attacks in AI and how these manipulations can affect the accuracy of models. Explore various defense techniques to combat these attacks and learn about their applications in critical fields like autonomous vehicles and healthcare.