Large language models (LLMs) are lowering the entry barriers to working with exciting data sources that used to require strong data science skills, such as handwritten ledgers, text, images, or sound ...
Large language models have moved out of the research lab and into engineers’ daily workflow. LLMs serve as reasoning engines ...
Why do people make the choices they do? Researchers from the Center Synergy of Systems (SynoSys) at TUD Dresden University of Technology, the Max Planck Institute for Human Development, and the ...
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 ...
The human-AI trust bond is vulnerable when people discuss mental health issues with AI. I tell how and why trust fluctuates, ...
You know what’s cheaper than large language models? Small language models, which are designed for specialized tasks and can ...
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Artificial intelligence models show massive gaps on traditional human intelligence tests
Artificial intelligence programs designed to process and generate text show remarkably high verbal reasoning abilities, but ...
Local AI inference at 32B-parameter quality, no cloud API required: University of Waterloo researchers released PAW on July 2, 2026, a system that compiles any natural-language task spec into a 23MB ...
Are tech companies on the verge of creating thinking machines with their tremendous AI models, as top executives claim they are? Not according to one expert. We humans tend to associate language with ...
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