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Hi DS Community! Reminder that there's less than 24 hours until the next AI Studio webinar event.ready to collaborate and hear questions. The team will have subject matter experts and experience managers ready to field questions and ideas. If you're not already using AI Studio but are interested in trying it out for yourself, you can contact the team after the event to get you onboarded. Can't wait to see you there!https://bit.ly/3MFISxkRegister Today!
Thank you for joining our recent webinar, “Skip the Cloud: Train AI Models Using Local Resources with AI Studio”, and hope you found the session both engaging and informative!If you’d like to revisit the webinar or explore additional resources, you can find the recording and related materials below. Additionally, if you're interested in learning more about AI Studio, feel free to schedule a one-on-one session with us here: https://calendly.com/sothan-thach-hp/ 🎥Webinar Recording We're looking forward to connecting with you at our next webinar on October 4th! Register here Also get ready for an exclusive look at the latest innovations from HP and the Z by HP team, coming your way at HP Imagine 2024 on September 24th. Stay tuned for all the exciting updates! Resources🖥️ Z by HP AI Studio 📝 AI Studio EAP Sign-up Form Webinar Q&AsQ: Are there any specific requirements for data preparation before uploading an asset from local storage or S3? A: That's a great question. So, this isn’t
OpenAI has announced the release of its latest AI model, codenamed Strawberry, now officially named OpenAI o1. This new model is designed to improve how AI handles complex tasks in math, science, and coding by evaluating its steps before providing a response.Key Updates: Advanced Reasoning: Unlike previous models, OpenAI o1 takes more time to think through problems, emulating a more human-like reasoning process. This approach helps the model better handle difficult questions and adhere more closely to safety guidelines. New Naming and Features: OpenAI o1 introduces a new naming system and will be available alongside existing models like GPT-4o. There’s also a lightweight variant, o1-mini, focused on code generation. Rolling Out Access: The new model is being introduced in phases. Starting today, ChatGPT Plus and Team users will get limited access to both o1-preview and o1-mini, with educational and enterprise users gaining access next week. Current Limitations: While promising, O
Hello everyone!I just created a blog post about exploring current Medical LLMs. If you are interested about AI in Healthcare and GenAI, and would like to learn how to create demos with Python and Gradio, I invite you to read it! https://medium.com/@miracfence/exploring-fine-tuned-medical-llms-cbb42dd4911f
According to Gartner, by 2027, 40% of generative AI (GenAI) solutions will feature multimodal capabilities—encompassing text, images, audio, and video—up from just 1% in 2023. This transition from single-modal to multimodal models promises to improve human-AI interactions and create unique opportunities for differentiated GenAI-powered products and services.The Rise of Multimodal GenAIMultimodal Generative AI is set to revolutionize enterprise applications by introducing innovative features and capabilities previously unattainable. Its influence spans across various industries and applications, enhancing interactions at every point where AI meets human engagement. Currently, many multimodal models incorporate only two or three modalities, but this is expected to expand significantly in the coming years.Open-Source LLMsOpen-source large language models (LLMs) are transforming enterprise value by democratizing access to advanced generative AI. They enable businesses to tailor models for
Ready to dive into the future of AI workflow? Join us for "Skip the Cloud: Train AI models using local resources with AI Studio"! This engaging webinar will give you the lowdown on Z by HP’s latest AI tool that’s set to transform how you work. We’ll explore standout features, reveal how it can streamline your tasks, and answer all your questions in real-time.What to ExpectWelcome & Introduction Live Demo: AI Studio Interactive Q&A Session Next Steps and ResourcesSecure Your Spot Now—Register Here!
As it is already well-known, for the last couple of years companies have been using AI in films in order to optimize multiple processes, from computer graphics, to animation, etc. Today, however, we can see it being hugely involved in the process, even in the whole automation of creating a film. For some artists, this may be a huge concern, for others it MAY be an opportunity to explore their creativity. In posts and programs like this https://runwayml.com/news/runway-partners-with-tribeca-festival we can see the potential in GenAI applications in the film industry, as long as the latest research https://runwayml.com/research/introducing-gen-3-alpha What do you think that are the actual limits of this? Do you think it will eventually ceil and just become one more tool for humans to explore their own creativity? Or, do you think it will become something like that one Black Mirror’s episode “Joan is Awful” where content is being automatically generated without any restrictions, just for
Some years ago, one of the things that was hyped in the AI Community but that I still think has huge relevance for the future in AI is Federated Learning and Privacy Preserving Machine Learning (PPML). This comes from an idea that future devices will have more than enough power to run the majority of our biggest models, or that models will be efficient enough to run on them. This without losing the aspect of keeping our data private and secure.What do you think about this? Do you think this is where AI Development would head eventually? What others directions could be the most feasible and with the most usage our future? A couple of those that come to my mind are Embodied AI and Causal Machine Learning.
Google researchers have unveiled GameNGen, a groundbreaking game engine entirely driven by AI that can simulate intricate video games in real-time. This innovative technology was showcased by recreating the iconic first-person shooter, Doom.GameNGen employs a neural network to generate game frames at more than 20 frames per second, creating visuals that closely mirror the original game. The AI model underwent a two-phase training process: initially, an AI agent was taught to play Doom, followed by training a separate model to predict the next frame based on previous actions and frames.“We introduce GameNGen, the first game engine entirely powered by a neural network, capable of real-time interaction within a complex environment over extended periods and at high quality,” the researchers detailed in their paper.This technology holds the potential to revolutionize game development by enabling the creation and modification of games through text descriptions or example images, moving away
As we wrap up August 2024, we’re excited to highlight some of the most insightful articles and posts shared by our vibrant community. Dive into these expert opinions, groundbreaking research, and practical guides to stay ahead in the AI and data science fields.AI Trends in Data ScienceDelve into the "AI Trends in Data Science" report, brought to you by NVIDIA and our community of 800 data scientists. This report covers the latest trends, key adoption barriers, and emerging opportunities. Enhance your AI strategy by exploring these unique insights. Check out the full report here. Optimizing Language Models with NVIDIANVIDIA's research team has developed an innovative approach to creating smaller, highly accurate language models using structured weight pruning and knowledge distillation. This breakthrough reduces training time, costs, and improves model performance. Learn about how this technique was applied to the Llama-3.1-Minitron 4B model here.Webinar: AI Studio Live Demo RecapOur fi
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