One-Minute Daily AI News 8/22/2024 1) Lightweight Champ: NVIDIA Releases Small Language Model With State-of-the-Art Accuracy. 2) Epic Systems is building more than 100 new AI features for doctors and patients. 3) A new web crawler launched by Meta last month is quietly scraping the internet for AI training data. 4) NVIDIA Announces First Digital Human Technologies On-Device Small Language Model, Improving Conversation for Game Characters. Sources: [1] https://lnkd.in/gZcqwjsE [2] https://lnkd.in/gmRKNtRn [3] https://lnkd.in/gHVgxfcH [4] https://lnkd.in/gJ5m9ZUu
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𝐍𝐕𝐈𝐃𝐈𝐀'𝐬 𝐍𝐞𝐦𝐨𝐭𝐫𝐨𝐧-𝟕𝟎𝐁 has set new performance standards in the Generative AI field, surpassing other leading models like 𝐆𝐏𝐓-𝟒𝐨 and 𝐂𝐥𝐚𝐮𝐝𝐞 𝟑.𝟓 𝐒𝐨𝐧𝐧𝐞𝐭. 𝐏𝐞𝐫𝐟𝐨𝐫𝐦𝐚𝐧𝐜𝐞 𝐒𝐜𝐨𝐫𝐞𝐬: 1. Nemotron-70B: Arena Hard: 85.0, AlpacaEval 2 LC: 57.6, MT-Bench: 8.98 2. Claude 3.5 Sonnet: Arena Hard: 79.2, AlpacaEval 2 LC: 52.4, MT-Bench: 8.81 3. GPT-4o: Arena Hard: 79.3, AlpacaEval 2 LC: 57.5, MT-Bench: 8.74 These results demonstrate Nemotron's advanced capabilities in understanding and responding to complex instructions, making it a 𝐥𝐞𝐚𝐝𝐞𝐫 in alignment 𝐛𝐞𝐧𝐜𝐡𝐦𝐚𝐫𝐤𝐬. For a full analysis of Nemotron's groundbreaking performance and its implications for future AI applications, check out the 𝐝𝐞𝐭𝐚𝐢𝐥𝐞𝐝 𝐚𝐫𝐭𝐢𝐜𝐥𝐞. https://lnkd.in/dJ8QM9jX #NVIDIA #Nemotron70B #ArtificialIntelligence #MachineLearning #GenerativeAI #AIResearch #DataScience #TechInnovation #AILeaders #TechNews #Benchmarking #DeepLearning #NeuralNetworks #TechnologyTrends #BigData #AICommunity #AITechnology #FutureofAI #AIBenchmarks #AITrends
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💥💥💥 Cosmos World Foundation Model Platform for Physical AI | NVIDIA Abstract Physical AI needs to be trained digitally first. It needs a digital twin of itself, the policy model, and a digital twin of the world, the world model. In this paper, we present the Cosmos World Foundation Model Platform to help developers build customized world models for their Physical AI setups. We position a world foundation model as a general-purpose world model that can be fine-tuned into customized world models for downstream applications. Our platform covers a video curation pipeline, pre-trained world foundation models, examples of post-training of pre-trained world foundation models, and video tokenizers. To help Physical AI builders solve the most critical problems of our society, we make our platform open-source and our models open-weight with permissive licenses available via 👉 https://lnkd.in/dSrhr8rs #machinelearning
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Cosmos is extremely powerful model for industrial use. Check the white paper to understand how it is designed!
Physical AI needs to be trained digitally first. It needs a digital twin of itself, the policy model, and a digital twin of the world, the world model. In this paper, we present the Cosmos World Foundation Model Platform to help developers build customized world models for their Physical AI setups. We position a world foundation model as a general-purpose world model that can be fine-tuned into customized world models for downstream applications. Our platform covers a video curation pipeline, pre-trained world foundation models, examples of post-training of pre-trained world foundation models, and video tokenizers. To help Physical AI builders solve the most critical problems of our society, we make our platform open-source and our models open-weight with permissive licenses available via NVIDIA Cosmos. paper: https://lnkd.in/gprk7D3T
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The ChatGPT moment for robotics is coming.. At the heart of this is the NVIDIA's Cosmos-Tokenizer, a suite of image and video tokenizers, paving the way for scalable, robust and efficient development of large auto-regressive transformers (such as LLMs) or diffusion generators.
Physical AI needs to be trained digitally first. It needs a digital twin of itself, the policy model, and a digital twin of the world, the world model. In this paper, we present the Cosmos World Foundation Model Platform to help developers build customized world models for their Physical AI setups. We position a world foundation model as a general-purpose world model that can be fine-tuned into customized world models for downstream applications. Our platform covers a video curation pipeline, pre-trained world foundation models, examples of post-training of pre-trained world foundation models, and video tokenizers. To help Physical AI builders solve the most critical problems of our society, we make our platform open-source and our models open-weight with permissive licenses available via NVIDIA Cosmos. paper: https://lnkd.in/gprk7D3T
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🚀 Unlock the full potential of #AI, data science, and machine learning with #NVIDIARTX powered #AIWorkstations and the NVIDIA AI Workbench! Simplify setup, ensure portability, manage dependencies, and collaborate seamlessly. #RTX #AIWorkstation
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Physical AI needs to be trained digitally first. It needs a digital twin of itself, the policy model, and a digital twin of the world, the world model. In this paper, we present the Cosmos World Foundation Model Platform to help developers build customized world models for their Physical AI setups. We position a world foundation model as a general-purpose world model that can be fine-tuned into customized world models for downstream applications. Our platform covers a video curation pipeline, pre-trained world foundation models, examples of post-training of pre-trained world foundation models, and video tokenizers. To help Physical AI builders solve the most critical problems of our society, we make our platform open-source and our models open-weight with permissive licenses available via NVIDIA Cosmos. paper: https://lnkd.in/gprk7D3T
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I'm excited to introduce a multi-turn Retrieval-Augmented Generation (RAG) system designed to facilitate engaging conversations with your data. This solution allows you to input URLs and interact with your data in a chat format. For generating responses, I’ve utilized Meta's Llama-3.1 70B model hosted by NVIDIA AI. LangChain is employed to orchestrate the process of document retrieval, re-ranking, query rewriting, and response generation. In this demonstration, I’ve applied the system to data from the Paris Olympics 2024, enabling interactive Q&A within a conversational framework. Feel free to deploy this example on your own system and experiment with various domain queries. For detailed instructions, visit: https://lnkd.in/duCSqtRM This is just one of many potential applications for RAG! Our team is actively developing similar use cases. Explore additional examples on our GitHub page: https://lnkd.in/dGUKySan
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How Do You Get to Artificial General Intelligence? Think Lighter By Kai-Fu Lee / via Wired "Billions of dollars in hardware and exorbitant use costs are squashing AI innovation. LLMs need to get leaner and cheaper if progress is to be made." -------------- Interesting point of view. Is it worth spending all this energy and money to try to achieve AGI, something that could be in the end a mirage ? AI models will surely greatly helps us find inspiration, automate boring tasks, decipher abstruse writings or getting a starting point for my next coding project. I think that machines will probably will never be able to mimick some human intelligence features like the different forms of humour (derision, irony). What do you think ? Do you believe that AGI will be a reality some day ? And as an illustration, do you think that level5 driveless cars will be in the streets soon ? -------------- #LLM #ArmsRace #AGI #AGIQuest #AIagents #AGIUseCases #AImodels #GenAI #GenerativeAI #technology #AgenticAI #AI #LLMmodels #Progress #Innovation
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#Nvidia just released a 70B model that beats GPT-4o and Sonnet 3.5 Here's how to access it for #FREE, it's #opensource : • You can use this new model through #HuggingChat: https://lnkd.in/dUDB-exY • Create a free account and select the model “nvidia/Llama-3.1-Nemotron-70B-Instruct-HF”.
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Nvidia just released a 70B model that beats GPT-4o and Sonnet 3.5 Here's how to access it for FREE: • You can use this new model through HuggingChat: https://lnkd.in/dUDB-exY • Create a free account and select the model “nvidia/Llama-3.1-Nemotron-70B-Instruct-HF”. And you're good to go! It's open source and you can use it for FREE! (image: x/itsPaulAi) ____________________ If you like this, and want more AI tools, tutorials, and news, join Superhuman, my AI newsletter with 800K+ subs now: https://lnkd.in/dEmezNQ2
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Trying to Solve Hallucinations? Look no further—our solution has you covered. Want to see some numbers before giving it a try? Check out our latest 2024 Benchmarks report. Highlights: 🚀 Lightning Fast Latency Average latency: 0.34 seconds 90th percentile latency: 0.43 seconds Say goodbye to those frustrating delays in AI interactions! 🎯 Top-Tier Detection Accuracy Our solution outperforms GPT-4o and Nvidia/NeMo Guardrails in detecting hallucinations, thanks to our unique infrastructure that trains hundreds of specialized small language models (SLMs). Efficiency and accuracy—what more could an engineer ask for?
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