Supporting 1024 Frames with Nearly 100% Accuracy: NVIDIA's 'LongVILA' Powers Up for Long Videos Discover NVIDIA's LongVILA: A full-stack solution for training and deploying long-context visual language models (VLMs) with enhanced performance and scalability. https://lnkd.in/gHwEeDJi #AI #LLM #NVIDIA #LongVILA #VLMs #deploying #longcontext #opensource #Llama
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Accelerate your shift to generative #AI! Leverage large language models for AI fine-tuning and inference. Enable new GenAI applications such as text generation, language translation, coding, and visual content, and deploy at scale. NVIDIA #HPEProLiant
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OpenAI's GPT-4o has just been surpassed by a new model that outperforms it on multiple benchmarks! AI at Meta has recently launched Llama 3.1, a groundbreaking model featuring 405 billion parameters, making it the most advanced open model released to date. Here are some key specifications of this new model: 1. 15 trillion tokens trained using 16,000 NVIDIA H100 GPUs. 2. A 128k token context window, allowing for more coherent and relevant responses. 3. Remarkable performance across a variety of tasks, particularly in mathematics, logical reasoning, and multilingual capabilities, outperforming other language models. Give it a try here: https://llama.meta.com/
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Llama 3.1: The Next Generation of Large Language Models Meta's Llama 3.1 is here, and it's poised to revolutionize the world of AI. This cutting-edge model comes in three impressive sizes: 8B parameters: Optimized for consumer GPUs 70B parameters: Ideal for large-scale applications 405B parameters: The largest model, designed for advanced tasks With a context length of up to 128K tokens and multilingual support, Llama 3.1 is a true powerhouse. Trained on 39.3M GPU hours using H100-80GB hardware, this model delivers competitive performance across various benchmarks, rivaling the likes of GPT-4. But that's not all! Llama 3.1 boasts enhanced reasoning capabilities, improved tool use, and a more permissive community license, making it accessible to developers worldwide. #Llama3.1 #LargeLanguageModel #AIRevolution #MetaAI #GPUOptimized #MultilangualSupport #ReasoningCapabilities #ToolUse #DeveloperCommunity #AIFuture
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Accelerate your shift to generative #AI! Leverage large language models for AI fine-tuning and inference. Enable new GenAI applications such as text generation, language translation, coding, and visual content, and deploy at scale. NVIDIA #HPEProLiant
Next-level performance for enterprise AI
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Accelerate your shift to generative #AI! Leverage large language models for AI fine-tuning and inference. Enable new GenAI applications such as text generation, language translation, coding, and visual content, and deploy at scale. NVIDIA #HPEProLiant
Next-level performance for enterprise AI
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Accelerate your shift to generative #AI! Leverage large language models for AI fine-tuning and inference. Enable new GenAI applications such as text generation, language translation, coding, and visual content, and deploy at scale. NVIDIA #HPEProLiant
Next-level performance for enterprise AI
hpe.com
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Accelerate your shift to generative #AI! Leverage large language models for AI fine-tuning and inference. Enable new GenAI applications such as text generation, language translation, coding, and visual content, and deploy at scale. NVIDIA #HPEProLiant
Next-level performance for enterprise AI
hpe.com
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Accelerate your shift to generative #AI! Leverage large language models for AI fine-tuning and inference. Enable new GenAI applications such as text generation, language translation, coding, and visual content, and deploy at scale. NVIDIA #HPEProLiant
Next-level performance for enterprise AI
hpe.com
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✨𝐋𝐚𝐭𝐞𝐬𝐭 𝐔𝐩𝐝𝐚𝐭𝐞 𝐢𝐧 𝐓𝐞𝐜𝐡𝐧𝐨𝐥𝐨𝐠𝐲 ✨ 🚀𝐍𝐕𝐈𝐃𝐈𝐀 𝐁𝐫𝐞𝐚𝐤𝐬 𝐆𝐫𝐨𝐮𝐧𝐝 𝐢𝐧 𝐀𝐈: 𝐋𝐥𝐚𝐦𝐚 𝟑.𝟏 𝐍𝐞𝐦𝐨𝐭𝐫𝐨𝐧-𝟕𝟎𝐁 💻 NVIDIA, famous for its GPUs, has taken a bold leap into the AI world 🌍 by releasing 𝐋𝐥𝐚𝐦𝐚 𝟑.𝟏 𝐍𝐞𝐦𝐨𝐭𝐫𝐨𝐧-𝟕𝟎! This large language model, with 70 billion parameters, is specially optimized for coding 🔧 using advanced transformer architecture and and reinforcement learning. Its performance 𝐬𝐮𝐫𝐩𝐚𝐬𝐬𝐞𝐬 𝐆𝐏𝐓-𝟒𝐨 and 𝐂𝐥𝐚𝐮𝐝𝐞 𝟑.𝟓 in specific coding tasks 🧑💻, particularly in terms of contextual accuracy🎯. NVIDIA's entry into the LLM space, especially with such a strong coding-focused model, has caught the attention of the AI community🌍as a significant innovation. Here’s the line made eye-catching with emojis: 👀 Do Watch Out! 🚨 - https://lnkd.in/gdYYCKaM #NVIDIA #AI #LlamaModel #CodingAI #LLM #TechInnovation #MachineLearning #AIcommunity #CodingAccuracy #GPT4 #ClaudeAI #TechNews
New AI Model Crushes GPT-4o With Shocking Results
https://www.youtube.com/
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NVIDIA has once again raised the bar in AI innovation with the unveiling of 𝐇𝐲𝐦𝐛𝐚 1.5𝐁. A hybrid small language model that outperforms rivals like 𝐋𝐋𝐚𝐌𝐀 3.2 and 𝐒𝐌𝐎𝐋𝐋𝐌 𝐯2. 𝐖𝐡𝐚𝐭 𝐦𝐚𝐤𝐞𝐬 𝐇𝐲𝐦𝐛𝐚 1.5𝐁 𝐫𝐞𝐯𝐨𝐥𝐮𝐭𝐢𝐨𝐧𝐚𝐫𝐲? It integrates a hybrid-head parallel architecture, combining the best of transformer attention mechanisms with structured state machines (SSMs). This unique design boosts performance and efficiency in natural language processing tasks, catering to a wide range of applications. With 𝐇𝐲𝐦𝐛𝐚 1.5𝐁, NVIDIA underscores its commitment to pushing AI boundaries, offering developers and enthusiasts a powerful new tool to explore and innovate. Let’s discuss what this breakthrough means for the future of AI! What excites you most about this release? #NVIDIA #AI #Hymba #MachineLearning #Innovation for more visit : https://lnkd.in/dYXjz8aw
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