AI Glossary
The definitive dictionary for AI, Machine Learning, and Governance terminology. From Flash Attention to RAG — look up any term.
A
A/B Testing
A controlled experiment comparing two versions (A and B) of a system, feature, or model to determine which performs better. Users are randomly assigned to each version and outcomes are measured.
AI Democratization
Making AI technology accessible to a broader range of people and organizations, regardless of technical expertise or resources. Includes open-source models, no-code tools, and affordable APIs.
AI Literacy
The ability to understand, evaluate, and effectively use AI systems. AI literacy includes knowing what AI can and cannot do, how it works at a conceptual level, and how to critically assess AI outputs.
AI Product Management
The discipline of managing AI-powered products, which requires understanding both traditional product management and the unique characteristics of AI systems (uncertainty, data dependency, continuous learning).
AI Supply Chain
The end-to-end ecosystem of components needed to build and deploy AI, from chip manufacturing and cloud infrastructure through data, models, tools, and applications.
AI Transformation
The comprehensive organizational change process of integrating AI across business functions, processes, and strategy. It goes beyond individual AI projects to fundamentally rethink how work gets done.
Anthropic
An AI safety company founded by former OpenAI researchers, focused on building safe and beneficial AI. Anthropic developed Claude and pioneered Constitutional AI.
API
Application Programming Interface — a set of rules and protocols that allow different software applications to communicate with each other. In AI, APIs let developers integrate AI capabilities into their applications.
C
Citizen Data Scientist
A business professional who creates ML models and analytics using no-code or low-code tools, without formal data science training. They bridge the gap between business and technical teams.
Cloud Computing
On-demand access to computing resources (servers, storage, databases, AI services) over the internet. Cloud providers like AWS, Azure, and GCP offer scalable infrastructure without owning physical hardware.
T
Token Economy
The broader economic ecosystem around AI tokens including pricing models, cost optimization strategies, and the financial dynamics of building AI-powered products.
Tokenomics
The economic framework around token-based pricing for AI API services, including cost per token, input vs output pricing, and optimization strategies.
Tokenomics of AI
The economics of token-based pricing in AI APIs, including cost per input/output token, strategies for cost optimization, and the financial implications of different model choices.