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Nvidia is increasing the layout of an open source circuit and is investing resources to develop a major model. The company hopes to use this model to drive hardware demand, but this move also means that it may compete with its own customers and partners. A number of people involved in the Nemotron project revealed that Nvidia plans to build the largest basic model in the Nemotron 4 series and target performance against the world's top open source models. There are 570 authors of papers related to Nvidia's previous flagship big model, and employees say Nemotron 4 will further expand the number of people involved in R&D. A former employee said, “Everyone wants to be involved at this stage.” Recently, Nvidia has continued to launch a variety of open source models, and this research and development is based on this. On Tuesday, Nvidia released the lightweight Nemotron 3.5 Lightning model, which focuses on efficient, high-speed running smart devices. The company also launched free model routing software to help enterprises quickly build model scheduling tools — tools that can assign different AI tasks to suitable and cost-effective models. A number of Nemotron project employees revealed that the number of parameters in the flagship Nemotron 4 reached at least trillion. The number of parameters is a parameter unit that is continuously adjusted during model learning. This scale is about twice that of Nvidia's current flagship model, the Nemotron 3 Ultra. Even after reaching the trillion-dollar parameter, the model is still smaller than America's leading open source model; however, Nvidia values model compression technology. Relying on this technology, smaller models are also expected to achieve better performance.
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Nvidia is increasing the layout of an open source circuit and is investing resources to develop a major model. The company hopes to use this model to drive hardware demand, but this move also means that it may compete with its own customers and partners. A number of people involved in the Nemotron project revealed that Nvidia plans to build the largest basic model in the Nemotron 4 series and target performance against the world's top open source models. There are 570 authors of papers related to Nvidia's previous flagship big model, and employees say Nemotron 4 will further expand the number of people involved in R&D. A former employee said, “Everyone wants to be involved at this stage.” Recently, Nvidia has continued to launch a variety of open source models, and this research and development is based on this. On Tuesday, Nvidia released the lightweight Nemotron 3.5 Lightning model, which focuses on efficient, high-speed running smart devices. The company also launched free model routing software to help enterprises quickly build model scheduling tools — tools that can assign different AI tasks to suitable and cost-effective models. A number of Nemotron project employees revealed that the number of parameters in the flagship Nemotron 4 reached at least trillion. The number of parameters is a parameter unit that is continuously adjusted during model learning. This scale is about twice that of Nvidia's current flagship model, the Nemotron 3 Ultra. Even after reaching the trillion-dollar parameter, the model is still smaller than America's leading open source model; however, Nvidia values model compression technology. Relying on this technology, smaller models are also expected to achieve better performance.
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