Every time a language model like GPT-4, Claude or Mistral generates a sentence, it does something deceptively simple: It picks one word at a time. This word-by-word approach is what gives ...

General language models use a technique called an autoregressive model, which generates text one token at a time. On the other hand, Gemini Diffusion uses a diffusion model, which is widely used in ...

The image generator from GPT-4o impresses with its quality and precise text integration. But what makes it different from other models? An attempt to explain. GPT-4o's AI image generator produces ...

Google has announced a diffusion model called Gemini Diffusion that can process 1,479 tokens per second, generating content faster than the 'fastest model ever made.' Gemini Diffusion generates text ...

Polygonal meshes are widely used in computer graphics, robotics, and game development to represent virtual objects and scenes. Exisitng learning-based methods for 3D object generation have relied on ...

The vector autoregressive model has long been used for portfolio analysis, while a recent extension (VARX) incorporates exogenous factors. Despite its increased forecasting precision, the ...

The regression model with autocorrelated disturbances is as follows: In these equations, y t are the dependent values, x t is a column vector of regressor variables, is a column vector of structural ...