Generative AI
Text Generation
AI that writes, producing human-quality text from a prompt, including articles, emails, code, and creative content.
Definition
The task of producing coherent, contextually relevant text from a given input or prompt. Modern text generation uses autoregressive transformer models that predict the next token in a sequence.
Why it matters
The most widely used generative AI capability, powering everything from email drafting to code completion to content marketing.
Related terms in Generative AI
Diffusion Models
AI that creates images by starting with pure noise and gradually refining it into a clear picture, like watching a Polaroid develop.
Foundation Models
Massive AI models (like GPT-4 or Claude) pre-trained on enormous datasets that can be adapted for thousands of different tasks.
GANs (Generative Adversarial Networks)
Two AI models competing against each other, one creates fakes, the other tries to catch them, until the fakes are perfect.
Generative AI
AI that creates new content, text, images, code, music, video, rather than just analyzing existing data.
From vocabulary to outcomes
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