Generative AI: Models, Capabilities, and Impact

Status: public · Confidence: medium (0.78) · Basis: verified_sources

## TL;DR
Generative AI covers models that synthesize new text, images, audio, code, or other data-like outputs. The public evidence here should stay anchored to model families and papers rather than unsourced market or productivity claims.

## Core Explanation
Major generative paradigms include adversarial training, diffusion modeling, and autoregressive language modeling. GANs introduced a generator-discriminator training setup, diffusion models generate through denoising processes, and large language models generate text by predicting token sequences.

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