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AI Dictionary

Industry & Business

Glossary of AI concepts, explained simply

4 concepts

Industry & Business

4 concepts

Illustration: a cat in round glasses turning a gear on a machine with gauges and warning lightsIntermediate
Industry & Business

AI observability

AI observability means recording what an AI system does in daily use, such as questions, answers, costs and response times, so you notice when it goes wrong.

Illustration: craftspeople working at separate desks divided by glass screens around a shared glowing fireIntermediate
Industry & Business

Multi-tenancy in AI

Multi-tenancy means one AI service runs many customers on shared servers and models, while each customer's data, settings and usage stay separate.

Illustration: a man reading a large book at a desk between two lamps, with a clock on the wall and loose notes in the airIntermediate
Industry & Business

Prompt caching

Prompt caching lets an AI provider reuse the part of your request that stays the same, such as long instructions, so repeat requests cost less and answer faster.

Illustration: a baker kneading dough at a counter with a cash register, beside shelves of jars filled with sweetsBeginner
Industry & Business

Token economics

Token economics is how AI providers bill for language models: you pay per token of text sent and received, so the length of a task and the model set its price.