The AI Glossary: Key Terms for Business, Tech, and Innovation
Working with AI can be bewildering, particularly with all the technical jargon. This glossary defines the most important terms you should understand, whether you're a founder, product owner, or simply researching what AI can do for your company.
Core AI Concepts
Generative AI & Language Models
Generative AI
Models that create new content—text, images, code, etc.—based on learned patterns.
Large Language Model (LLM)
The engine behind tools like ChatGPT; trained on massive text datasets.
Natural Language Processing (NLP)
The field of AI that enables machines to understand and generate human language.
Prompt Engineering
The practice of designing effective inputs (prompts) to guide LLM responses.
Retrieval-Augmented Generation (RAG)
A technique where an LLM retrieves data to generate more accurate responses.
Model Hallucination
When an AI model generates confident but false or misleading information.
AI Agents & Automation
AI Agent
An AI that performs tasks by interacting with its environment, sometimes with human input.
Autonomous Agent
An AI that acts on its own, making decisions without human help.
Multi-Agent System
A group of AI agents that work together, coordinate, or compete to solve complex tasks.
AI Automation
Using AI to automate business processes, decision-making, or user interactions.
Custom Company GPT
A GPT model customized to your business data, tone, and workflows.
AIConsole
AI integration and orchestration platform that streamlines AI deployment and operations.
