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TVETipedia glossary

Find and compare definitions of key terms that are relevant in TVET policy and themes. Learn more.


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Generative AI (GAI / GenAI)

Generative AI (GenAI) is an artificial intelligence (AI) technology that automatically generates content in response to prompts written in natural-language conversational interfaces. Rather than simply curating existing webpages, by drawing on existing content, GenAI actually produces new content. The content can appear in formats that comprise all symbolic representations of human thinking: texts written in natural language, images (including photographs, digital paintings and cartoons), videos, music and software code. GenAI is trained using data collected from webpages, social media conversations and other online media. It generates its content by statistically analysing the distributions of words, pixels or other elements in the data that it has ingested and identifying and repeating common patterns (for example, which words typically follow which other words).

See also EdGPT



Generative AI is a type of artificial intelligence that uses machine learning algorithms to generate new content. Unlike traditional AI, which is programmed to respond to specific inputs, generative AI is designed to be creative and produce original outputs. This can include anything from art and music to text and even entire virtual worlds.

While traditional AI approaches are based on rules and patterns, generative AI relies on models that learn from large amounts of data and can then generate new content that is similar in style and structure to the data it was trained on.

UNEVOC Comment:

Popular GAI tools include ChatGPT (text) and DALL·E (images).



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