Many companies are learning that keeping their AI safe is about more than just adding some cloud security as a makeshift gate ...
While the speed remains impractical for daily use, this proof of concept demonstrates how new inference engines are ...
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A better method for identifying overconfident large language models
Large language models (LLMs) can generate credible but inaccurate responses, so researchers have developed uncertainty quantification methods to check the reliability of predictions. One popular ...
By testing humans against a broad range of models (including Gemini, GPT, and Llama) on standard creativity tasks—such as finding alternative uses for common objects—the researchers found that AI ...
Red Hat is pushing Kubernetes inference into the mainstream by contributing llm-d to the CNCF, as enterprises race to run AI ...
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 ...
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LLMs and creativity: AI responses show less variety than human ones
Can using a large language model (LLM) make a person more creative? Prior work has shown that using LLMs can make creative ...
Having spent years building and scaling artificial intelligence and machine language (AI/ML) solutions at AWS Bedrock and now at Intuit, I've witnessed firsthand the incredible advancements in large ...
GPT-4o achieved ICC/CCC of 0.815/0.866 versus in-person SALT scoring and 0.833/0.817 versus image-based scoring, while expert ...
China has unveiled DeepZang, the world's first large language model for the Tibetan language, in a move that could broaden ...
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