Meta recently released its Llama 3.2 series of vision language models (VLMs), which come in 11B parameter and 90B parameter variants. These models are multimodal, supporting both text and image inputs. In addition, Meta has launched text-only small language model (SLM) variants of Llama 3.2 with 1B and 3B parameters. NVIDIA has optimized the Llama 3.2 collection of models for great performance and…
]]>NVIDIA today launched the NVIDIA RTX AI Toolkit, a collection of tools and SDKs for Windows application developers to customize, optimize, and deploy AI models for Windows applications. It’s free to use, doesn’t require prior experience with AI frameworks and development tools, and delivers the best AI performance for both local and cloud deployments. The wide availability of generative…
]]>Large language models (LLMs) are fundamentally changing the way we interact with computers. These models are being incorporated into a wide range of applications, from internet search to office productivity tools. They are advancing real-time content generation, text summarization, customer service chatbots, and question-answering use cases. Today, LLM-powered applications are running…
]]>Generative AI and large language models (LLMs) are changing human-computer interaction as we know it. Many use cases would benefit from running LLMs locally on Windows PCs, including gaming, creativity, productivity, and developer experiences. This post discusses several NVIDIA end-to-end developer tools for creating and deploying both text-based and visual LLM applications on NVIDIA RTX AI-ready…
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