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 ...
Even when information is factually accurate, how it’s presented can introduce subtle biases. As large language models ...
Morning Overview on MSN
China’s open AI models are neck-and-neck with the West. What’s next
China’s latest generation of open large language models has moved from catching up to actively challenging Western leaders on ...
Nexus proposes higher-order attention, refining queries and keys through nested loops to capture complex relationships.
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 ...
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 ...
“I’m not so interested in LLMs anymore,” declared Dr. Yann LeCun, Meta’s Chief AI Scientist and then proceeded to upend everything we think we know about AI. No one can escape the hype around large ...
The U.S. military is working on ways to get the power of cloud-based, big-data AI in tools that can run on local computers, draw upon more focused data sets, and remain safe from spying eyes, ...
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 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 ...
Step aside, LLMs. The next big step for AI is learning, reconstructing and simulating the dynamics of the real world.
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 ...
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