Resources
AI Glossary
Plain-English definitions of the AI terms that come up in enterprise work — written so they're useful to operators, not just engineers.
15 terms
Agentic AIAI systems that autonomously execute multi-step tasks to reach a goal.Read definition Generative AIAI that creates new content — text, code, images, audio, video.Read definition Large Language Model (LLM)A neural network trained on massive text corpora to predict next tokens.Read definition Retrieval-Augmented Generation (RAG)Injecting retrieved documents into an LLM prompt to ground outputs.Read definition Fine-TuningContinued training of a base model on task-specific data.Read definition Prompt EngineeringDesigning inputs to LLMs that reliably produce desired outputs.Read definition Tool UseAn LLM calling external functions to extend its capabilities.Read definition Model Context Protocol (MCP)An open standard for connecting AI systems to tools and data sources.Read definition Vector DatabaseA database optimized for semantic similarity search over embeddings.Read definition EmbeddingsNumeric vector representations of text or other data that capture meaning.Read definition AI Evaluation (Evals)The practice of systematically measuring AI system quality.Read definition AI GovernancePolicies, controls, and accountability for AI inside an organization.Read definition AI StrategyThe plan for where AI creates value across a business and how it gets there.Read definition AI Maturity ModelA staged framework for assessing how advanced an organization's AI capability is.Read definition Model RiskThe risk that an AI model produces incorrect, unfair, or unsafe outputs.Read definition