Science is entering a massive publishing boom, in large part due to artificial intelligence. New research published in the ...
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 ...
New research reveals why even state-of-the-art large language models stumble on seemingly easy tasks—and what it takes to fix ...
Overview: Large language models in 2026 have evolved into multimodal, highly adaptive systems that deliver complex reasoning ...
There’s a paradox at the heart of modern AI: The kinds of sophisticated models that companies are using to get real work done and reduce head count aren’t the ones getting all the attention. Ever-more ...
Whether you're a scientist brainstorming research ideas or a CEO hoping to automate a task in human resources or finance, you'll find that artificial intelligence (AI) tools are becoming the ...
The human brain processes spoken language in a step-by-step sequence that closely matches how large language models transform text.
Climate Compass on MSN
The hidden ecological cost of training large language models
The Energy Appetite of AI Training Operations S. homes for a year, generating about 552 tons of carbon dioxide. Think about that for a moment. A single model, trained once, produces emissions ...
Large language models (LLMs) are all the rage in the generative AI world these days, with the truly large ones like GPT, LLaMA, and others using tens or even hundreds of billions of parameters to ...
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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