Top AI researchers like Fei-Fei Li and Yann LeCun are developing world models, which don't rely solely on language.
Dietary assessment has long been a bottleneck in nutrition research and public health. Common tools such as food frequency questionnaires, 24-hour recalls, and weighed food records rely heavily on ...
With AI answer engines and natural language processing (NLP), the typical prompt is closer to 20 or 30 words long. To make it ...
Recently, the team led by Guoqi Li and Bo Xu from the Institute of Automation, Chinese Academy of Sciences, published a ...
A Perspective in National Science Review outlines a new paradigm for fully automated processor chip design. By combining ...
Space startup's CEO talks about putting tens of thousands of satellites in orbit to serve as networked data centers.
In a major advancement for AI model evaluation, the Institute of Artificial Intelligence of China Telecom (TeleAI) has ...
Large language models gradually influence the way people form opinions by generating the information that chatbots and virtual assistants present to people over time. These models are now also being ...
Claude-creator Anthropic has found that it's actually easier to 'poison' Large Language Models than previously thought. In a ...
If language is what makes us human, what does it mean now that large language models have gained “metalinguistic” abilities?
The Brighterside of News on MSNOpinion
MIT researchers teach AI models to learn from their own notes
Large language models already read, write, and answer questions with striking skill. They do this by training on vast ...
Instead of a single, massive LLM, Nvidia's new 'orchestration' paradigm uses a small model to intelligently delegate tasks to a team of tools and specialized models.
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