Term tag: Diffusion Models

Classifier-Free Guidance (CFG)

Classifier-free guidance (CFG) is how a diffusion model follows a prompt: each step runs the model with and without the prompt and extrapolates the gap.

Diffusion Language Models (DLMs)

Text models that unmask many tokens per pass instead of writing one at a time — what that actually buys in speed, and what it costs in quality.

Diffusion Model

A generative model that learns to undo a fixed noising process — what the network really predicts, why the step count is the cost, and why it displaced GANs.

Generative AI

Generative AI learns the probability distribution its training data came from, well enough to draw new samples from it — not just sort inputs into classes.

Image Generation

How AI turns noise into a picture: the diffusion loop, the noise schedule on numbers, why it runs in a 48x-compressed latent space, and what guidance costs.

Simple Continual Pretraining (SCP)

Method for turning a pretrained autoregressive LLM into a diffusion language model by continuing pretraining with a bidirectional attention mask.

Video Generation

Video generation is an AI technology that creates moving images and scenes from text descriptions, images, or other video clips.