What is generative AI?
Generative AI is a type of artificial intelligence that creates new content, such as text, images, audio or code, from a prompt. It learns from large datasets, and large language models and image generators are the best-known examples of generative AI at work.
Also called: GenAI
Why it matters
Generative AI is useful where your team writes a lot of first drafts: replies, product descriptions, reports, code. It does not remove the need for checking, because it can state wrong things with confidence. Start with tasks where a person reviews the output anyway, and measure the time saved before widening use.
1Generative vs other AIClassic AI sorts or predicts, such as flagging fraud; generative AI produces something new, such as a reply or an image.
2Generative vs agenticGenerative AI produces content; agentic AI uses that ability to plan and take actions in other systems.
3Watch the inputsDecide what data may be sent to the model provider, especially customers’ personal data, and check it with a lawyer.
ExampleAn online furniture store in Astana adds a new range every season. Generative AI writes the first draft of each product description in Russian and Kazakh from the supplier sheet and the brand style guide, and suggests photo captions. A copywriter edits and approves every page before it goes live.
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Related terms
LLMA large language model: an AI model trained on huge amounts of text to read and write language.AI agentSoftware that uses a language model to plan the steps of a task and carry them out in your tools.AI hallucinationWhen an AI model states something false or invented as confidently as if it were a fact.Prompt engineeringWriting and testing the instructions given to an AI model so it produces reliable, usable output.
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