China Telecom, one of the country’s state-owned telecom giants, has created two LLMs that were trained solely on domestically-produced chips. This breakthrough represents a significant step in China’s ongoing efforts to become self-reliant in AI […]
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Evaluating generative AI systems can be a complex and resource-intensive process. As the landscape of generative models evolves rapidly, organizations, researchers, and developers face significant challenges in systematically evaluating different models, including LLMs (Large Language […]
Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More Even as the world of software has moved toward simplified user interfaces and applications, the security […]
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As artificial intelligence systems increasingly permeate critical decision-making processes in our everyday lives, the integration of ethical frameworks into AI development is becoming a research priority. At the University of Maryland (UMD), interdisciplinary teams tackle […]
The ability of learning to evaluate is increasingly taking on a pivotal role in the development of modern large multimodal models (LMMs). As pre-training on existing web data reaches its limits, researchers are shifting towards […]
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Projections released by the newly launched Global AI Ecosystem open-source knowledge platform indicate that the UK’s AI sector is set to skyrocket from £1.36 trillion ($1.7 trillion) to £2.4 trillion ($3 trillion) by 2027. The […]
Speech carries more information than writing since it takes semantic and paralinguistic information like tone. Additionally, speaking is a more practical and organic approach for people to communicate with AI. Consequently, following speech-and-language guidelines while […]
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