This article presents challenges and solutions regarding health care–focused large language models (LLMs) and summarizes key recommendations from major regulatory and governance bodies for LLM ...
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 ...
Z.ai released GLM-4.7 ahead of Christmas, marking the latest iteration of its GLM large language model family. As open-source models move beyond chat-based applications and into production ...
What the firm found challenges some basic assumptions about how this technology really works. The AI firm Anthropic has developed a way to peer inside a large language model and watch what it does as ...
Large language models (LLMs) deliver impressive results, but are they truly capable of reaching or surpassing human ...
Large language models (LLMs) deliver impressive results, but are they truly capable of reaching or surpassing human ...
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Neuromorphic Spike-Based Large Language Model (NSLLM): The next-generation AI inference architecture for enhanced efficiency and interpretability
Recently, the team led by Guoqi Li and Bo Xu from the Institute of Automation, Chinese Academy of Sciences, published a ...
“I’m not so interested in LLMs anymore,” declared Dr. Yann LeCun, Meta’s Chief AI Scientist and then proceeded to upend everything we think we know about AI. No one can escape the hype around large ...
India has nearly 1.4 billion people and is one of the most linguistically diverse countries in the world, with more than 1,500 languages and dialects spoken across different regions. For AI systems ...
The proliferation of edge AI will require fundamental changes in language models and chip architectures to make inferencing and learning outside of AI data centers a viable option. The initial goal ...
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