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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 ...
When choosing a large language model (LLM) for use in a particular task, one of the first things that people often look at is the model's parameter count. A vendor might offer several different ...
New AI memory method lets models think harder while avoiding costly high-bandwidth memory, which is the major driver for DRAM ...
Joining the ranks of a growing number of smaller, powerful reasoning models is MiroThinker 1.5 from MiroMind, with just 30 ...
As a company that has been engaged in research, development and operation of LLMs, including natural language processing, for about 10 years, we believe it is essential to design and build LLMs by ...
Editor’s Note: Benjamin Jensen, one of the authors of this article, is the host of the new War on the Rocks members-only show, Not the AI You’re Looking For. If you are a member, you can access the ...
The original version of this story appeared in Quanta Magazine. Large language models work well because they’re so large. The latest models from OpenAI, Meta, and DeepSeek use hundreds of billions of ...
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