AI Glossary: Terms, Definitions, and Concepts Explained

Insights, News & Updates

Decision Policy: What It Is and How It Works in AI

A Decision Policy refers to a strategy or rule that guides an AI system’s decision-making process. It defines how the system selects actions based on the current state of the environment, internal goals, and past experiences.

Deep Learning: Definition, Examples, and Real Use Cases

Deep learning is a subset of machine learning that uses algorithms modeled.

Delegation Strategy: Definition and Best Practices in AI

In agentic AI, a delegation strategy is the structured way an agent or orchestrator decides which tasks to handle directly and which tasks to pass on to other agents, tools, or humans.

Deliberative Reasoning Engine (DRE): Definition and Examples

Denoising Score Matching: Definition and How It Works

Denoising Score Matching (DSM) is a foundational technique in generative modeling.

Differential Privacy: Definition, Examples, and Use Cases

Differential privacy is a mathematical framework that protects individual data.

Diffusion Models: Definition, Examples, and How They Work

Diffusion models are generative machine learning models that create data.

Diffusion Probabilistic Model: Definition and Examples

Diffusion Probabilistic Models (DPMs) are a class of generative models that use a probabilistic.

Diffusion Sampler: Definition and How It Works in Models

A Diffusion Sampler is a critical component in diffusion-based generative models.