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 ...
I discuss what open-source means in the realm of AI and LLMs. There are efforts to devise open-source LLMs for mental health guidance. An AI Insider scoop.
This article presents challenges and solutions regarding health care–focused large language models (LLMs) and summarizes key recommendations from major regulatory and governance bodies for LLM ...
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 ...
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 ...
During sleep, the human brain sorts through different memories, consolidating important ones while discarding those that don’t matter. What if AI could do the same? Bilt, a company that offers local ...
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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