Diffusion Models

CODEFUSION: A Pre-trained Diffusion Model for Code Generation

CODEFUSION is a new code generation model which was introduced in a research paper from Microsoft, titled: “CODEFUSION: A Pre-trained Diffusion Model for Code Generation”. Recently, we’ve observed a significant progress with code generation using AI, which is mostly based on large language models (LLMs), so we refer to them as code LLMs. With a …

CODEFUSION: A Pre-trained Diffusion Model for Code Generation Read More »

Emu motivations - text-to-image models are not consistent with generating high-quality images

Emu: Enhancing Image Generation Models Using Photogenic Needles in a Haystack

Emu is a new text-to-image generation model by Meta AI, which was presented in a research paper titled “Emu: Enhancing Image Generation Models Using Photogenic Needles in a Haystack”. Text-to-image models are able to get a prompt as input, such as “a cat trying to catch a fish” in the example image above, and yield …

Emu: Enhancing Image Generation Models Using Photogenic Needles in a Haystack Read More »

Scroll to Top