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LLMs have tons of parameters, but what is a parameter?
Large language models are routinely described in terms of their size, with figures like 7 billion or 70 billion parameters ...
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 ...
Considered the next generation of AI, large reasoning models (LRMs) are said to "think" rather than only predict. Although true machine thinking has been a highly debated hot topic within the AI world ...
Forbes contributors publish independent expert analyses and insights. Hessie Jones is a strategist, entrepreneur and investor covering AI Large language models have emerged as a transformative ...
As technology progresses, we generally expect processing capabilities to scale up. Every year, we get more processor power, faster speeds, greater memory, and lower cost. However, we can also use ...
The original version of this story appeared in Quanta Magazine. Two years ago, in a project called the Beyond the Imitation Game benchmark, or BIG-bench, 450 researchers compiled a list of 204 tasks ...
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 ...
Even as large language models have been making a splash with ChatGPT and its competitors, another incoming AI wave has been quietly emerging: large database models. Even as large language models have ...
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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