NVIDIA Unveils First On-Device Small Language Model to Enhance Digital Humans

The post NVIDIA Unveils First On-Device Small Language Model to Enhance Digital Humans appeared on BitcoinEthereumNews.com. Caroline Bishop Aug 22, 2024 03:37 NVIDIA introduces Nemotron-4 4B Instruct, its first on-device small language model, at Gamescom, promising more lifelike digital humans and improved gaming experiences. At Gamescom this week, NVIDIA announced the introduction of Nemotron-4 4B Instruct, its first on-device small language model (SLM). This innovative model is designed to enhance the lifelikeness of digital humans in gaming and other interactive experiences, according to the NVIDIA Blog. The SLM Advantage SLMs, such as Nemotron-4 4B, are optimized for specific use cases, allowing them to deliver more accurate and faster responses compared to larger, general-purpose language models. Nemotron-4 4B was distilled from the larger Nemotron-4 15B model, reducing its memory footprint and improving its speed without compromising accuracy. This makes it suitable for running locally on GeForce RTX-powered PCs and laptops, as well as NVIDIA RTX-powered workstations. The model includes advanced features like role-play, retrieval-augmented generation, and function-calling capabilities. These enable game characters to better understand and respond to player instructions, making in-game interactions more intuitive and engaging. ACEs Up NVIDIA’s ACE (Avatar Creation Engine) technology, which includes Nemotron-4 4B, allows developers to deploy state-of-the-art generative AI models both on the cloud and on RTX AI PCs and workstations. This suite includes key AI models for speech-to-text, language processing, text-to-speech, and facial animation, making it modular and adaptable to various developer needs. For instance, in the video game Mecha BREAK, players can converse with a mechanic game character and instruct it to switch and customize mechs, demonstrating the practical applications of Nemotron-4 4B’s capabilities. AI That’s NIMble ACE also supports hybrid inference, allowing developers to run AI models either in the cloud or locally. The NVIDIA AI Inference Manager software development kit streamlines the deployment and integration of these models, offering a flexible solution for developers based on…

Aug 22, 2024 - 05:00
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NVIDIA Unveils First On-Device Small Language Model to Enhance Digital Humans

The post NVIDIA Unveils First On-Device Small Language Model to Enhance Digital Humans appeared on BitcoinEthereumNews.com.

Caroline Bishop Aug 22, 2024 03:37 NVIDIA introduces Nemotron-4 4B Instruct, its first on-device small language model, at Gamescom, promising more lifelike digital humans and improved gaming experiences. At Gamescom this week, NVIDIA announced the introduction of Nemotron-4 4B Instruct, its first on-device small language model (SLM). This innovative model is designed to enhance the lifelikeness of digital humans in gaming and other interactive experiences, according to the NVIDIA Blog. The SLM Advantage SLMs, such as Nemotron-4 4B, are optimized for specific use cases, allowing them to deliver more accurate and faster responses compared to larger, general-purpose language models. Nemotron-4 4B was distilled from the larger Nemotron-4 15B model, reducing its memory footprint and improving its speed without compromising accuracy. This makes it suitable for running locally on GeForce RTX-powered PCs and laptops, as well as NVIDIA RTX-powered workstations. The model includes advanced features like role-play, retrieval-augmented generation, and function-calling capabilities. These enable game characters to better understand and respond to player instructions, making in-game interactions more intuitive and engaging. ACEs Up NVIDIA’s ACE (Avatar Creation Engine) technology, which includes Nemotron-4 4B, allows developers to deploy state-of-the-art generative AI models both on the cloud and on RTX AI PCs and workstations. This suite includes key AI models for speech-to-text, language processing, text-to-speech, and facial animation, making it modular and adaptable to various developer needs. For instance, in the video game Mecha BREAK, players can converse with a mechanic game character and instruct it to switch and customize mechs, demonstrating the practical applications of Nemotron-4 4B’s capabilities. AI That’s NIMble ACE also supports hybrid inference, allowing developers to run AI models either in the cloud or locally. The NVIDIA AI Inference Manager software development kit streamlines the deployment and integration of these models, offering a flexible solution for developers based on…

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