Consistency models (CMs) are a cutting-edge class of diffusion-based generative models designed for rapid and efficient sampling. However, most existing CMs rely on discretized timesteps, which ...

The field of text-to-image synthesis has advanced rapidly, with state-of-the-art models now generating highly realistic and diverse images from text descriptions. This progress largely owes to ...

On the path to achieving artificial superhuman intelligence, a critical tipping point lies in a system’s ability to drive its own improvement independently, without relying on human-provided data, ...

While large language models (LLMs) dominate the AI landscape, Small-scale Large Language Models (SLMs) are gaining traction as cost-effective and efficient alternatives for various applications.

Apple researchers conducted a systematic study of the computational bottlenecks and cost-efficiency of training SLMs. Their work evaluates training strategies across diverse cloud infrastructure ...

OpenAI researchers introduces TrigFlow, a simplified theoretical framework that identifies the key causes of training instability of consistency models and addresses them with novel improvements in ...

In a new paper OpenDevin: An Open Platform for AI Software Developers as Generalist Agents, a research team introduces OpenDevin, an Open Platform for AI Software Developers as Generalist Agents. This ...

Generative AI, including Language Models (LMs), holds the promise to reshape key sectors like education, healthcare, and law, which rely heavily on skilled professionals to navigate complex ...