Recent survey delivers the first systematic map of LLM tool-learning, dissecting why tools supercharge models and how ...
Forbes contributors publish independent expert analyses and insights. Dr. Lance B. Eliot is a world-renowned AI scientist and consultant. In today’s column, I closely explore the rapidly emerging ...
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 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, ...
A new community-driven initiative evaluates large language models using Italian-native tasks, with AI translation among the ...
Large language model AIs might seem smart on a surface level but they struggle to actually understand the real world and model it accurately, a new study finds. When you purchase through links on our ...
As recently as 2022, just building a large language model (LLM) was a feat at the cutting edge of artificial-intelligence (AI) engineering. Three years on, experts are harder to impress. To really ...
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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