transformers and diffusion

Generative AI creates new text, images, audio, video, and code by learning patterns from massive datasets and then sampling plausible outputs—most commonly with transformers for language and diffusion for visuals—refined by feedback and grounded in up‑to‑date information when needed.​ The core idea Key model families How outputs are sampled Making models useful and safe Multimodal … Read more