AI Glossary: Terms, Definitions, and Concepts Explained

Insights, News & Updates

Optical Character Recognition (OCR): Definition and Examples

Optical Character Recognition (OCR) is a technology that converts printed, handwritten, or scanned text into machine-readable data.

Outpainting in Generative Models: Definition and Examples

Outpainting is a generative AI technique that extends an existing image beyond its borders, creating new content.

Perception Module: What It Is and How It Works in AI

The Perception Module is a vital component that allows the system to gather, interpret, and process information from its environment. It serves as the agent's sensory interface, enabling it to perceive and understand the state of the world around it. 

Perplexity in Language Models: Definition and Examples

Perplexity is a metric used to evaluate the performance of language models. In simple terms, perplexity measures how well a language model predicts a text sample. The lower the perplexity, the better the model predicts the next word in a sequence, meaning it is less “surprised” by the actual outcomes.

Perplexity in LLMs: Definition and Why It Matters for AI

Perplexity is a measurement used to evaluate huge language models (LLMs). It indicates how well a model predicts a sequence of words.

Planning Module: What It Is and How It Works in AI

A Planning Module refers to a crucial component of an intelligent system that involves creating, organizing, and executing a sequence of actions or tasks based on specific objectives, constraints, and environments. These modules are designed to simulate decision-making processes and carry out tasks autonomously. 

Platform as a Service (PaaS): Definition and Examples

Platform as a Service (PaaS) is a sophisticated cloud computing model that provides developers and businesses.