Browsing: Machine Learning

Researchers from the University of Illinois and UC Berkeley have developed AlphaOne, a framework that improves large language models’ reasoning capabilities and efficiency.

Apple’s research paper challenges the effectiveness of advanced AI reasoning models, showing they struggle with complex problems despite claims from major providers.

A comprehensive guide to artificial intelligence terminology, covering concepts from AGI to weights in AI model training

Join Anish Kumar, AI Software Engineering Evangelist at Intel, for a webinar on maximizing performance and efficiency for AI/ML developers

Recent study shows AI models can perform many coding tasks, but still lag behind human effectiveness in freelance coding jobs

Researchers at UC San Diego have developed a novel method to more precisely steer and modify large language models, potentially leading to safer and more reliable AI applications.

Exploring Alan Turing’s famous test for machine intelligence and its relevance in modern AI development

The University of Pittsburgh and Amazon Web Services have launched the East Coast’s first Cloud Innovation Center, focusing on health sciences and sports analytics.

The author shares their experience of failed AI projects and how they finally succeeded by incorporating a feedback loop and product management principles.

Yann LeCun, Meta’s VP and Chief AI Scientist, was recognized by The New York Academy of Sciences for his pioneering work in AI.