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How human error became a weapon against large language models
Alan Turing proposed a test for machine intelligence: could a computer convince a human it was human? We have begun ...
In the late 1970s, a Princeton undergraduate named John Aristotle Phillips made headlines by designing an atomic bomb using only publicly available sources for his junior year research project. His ...
There is an all-out global race for AI dominance. The largest and most powerful companies in the world are investing billions in unprecedented computing power. The most powerful countries are ...
Even while listening, the brain attempts to anticipate the next words. This is the conclusion reached by a current study ...
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 ...
Microsoft’s 3.8B parameter Phi-3 may rival GPT-3.5, signaling a new era of “small language models.” ...
Key opportunities in the LLM content filtering market include rising demand for AI governance and explainable systems, growth ...
If GEO is about feeding the LLMs, then improving share of model is about feeding LLMs the right signals consistently.
Small Language Models or SLMs are on their way toward being on your smartphones and other local devices, be aware of what's coming. In today’s column, I take a close look at the rising availability ...
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