Underdamped Diffusion Samplers Outperform Traditional Methods: Researchers from Karlsruhe Institute of Technology, NVIDIA, and Zuse Institute Berlin Introduce a New Framework for Efficient Sampling from Complex Distributions with Degenerate Noise

Diffusion processes have emerged as promising approaches for sampling from complex distributions but face significant challenges when dealing with multimodal […]

Google AI Introduce the Articulate Medical Intelligence Explorer (AMIE): A Large Language Model Optimized for Diagnostic Reasoning, and Evaluate its Ability to Generate a Differential Diagnosis

Developing an accurate differential diagnosis (DDx) is a fundamental part of medical care, typically achieved through a step-by-step process that […]

LLMs No Longer Require Powerful Servers: Researchers from MIT, KAUST, ISTA, and Yandex Introduce a New AI Approach to Rapidly Compress Large Language Models without a Significant Loss of Quality

HIGGS — the innovative method for compressing large language models was developed in collaboration with teams at Yandex Research, MIT, […]