Why is it important to have a clear definition for #OpenSource #AI? Intel Corporation's Ezequiel Lanza explains.
Open-source artificial intelligence redefines how organizations and developers approach #AI. By clearly labeling models and providing access to their architecture, #data and behavior, developers can fine-tune and contribute back to the community, said Intel Corporation's Ezequiel Lanza. Watch the full interview: https://lnkd.in/da4AUVuw #ISMGNews #CIOInc Rahul Neel Mani
Open-source artificial intelligence redefines how organizations and developers approach #AI. By clearly labeling models and providing access to their architecture, #data and behavior, developers can fine-tune and contribute back to the community, said Intel Corporation's Ezequiel Lanza. Watch the full interview: https://lnkd.in/da4AUVuw #ISMGNews #CIOInc Rahul Neel Mani
🤖 weblyzard has been a proud member of the NVIDIA Inception program since 2020, allowing us to push the boundaries of #AI development. Today we are happy to announce that we have expanded the #GPU capacity in our data center to support critical research initiatives even better. Our recent data center capacity upgrade enables progress on key research projects like AI-CENTIVE, MultiPoD, and TRANSMIXR, for example: 🌍 Development of cross-cultural language models 📊 Metadata enrichment component implementation 🔎 Research into AI-driven incentivization strategies This infrastructure enhancement supports our ongoing commitment to R&D excellence and advancing the state of the art. Our collaboration with NVIDIA continues to provide strategic technological resources for advanced AI exploration. #GenAI #LLMs #L40s
Great insight from Josh West on evaluating LLMs and an AI platform when data control, security, and infrastructure flexibility are top concerns.
🚀 Reflecting on an insightful panel discussion about the future of Private Large Language Models (LLMs)! 🚀 It was a pleasure joining industry leaders to discuss the evolving landscape of AI, particularly the growing interest in Private LLMs and how organizations can leverage them to solve complex problems while ensuring data security and flexibility. Here are some key takeaways from our conversation: 🔒 Data Security and Privacy: In sensitive industries like financial services, controlling where data goes is crucial. Private LLMs ensure that prompts and fine-tuning data are kept secure and do not feed back into public models and realms. This is a game-changer for organizations with high data sensitivity. ⚙️ Smaller Models, Bigger Impact: While large models tend to attract attention, smaller models are key to the diversity of use cases as AI scales. They offer lower costs, reproducibility, and flexibility—especially as companies scale to handle hundreds of use cases. 🏗️ Infrastructure Flexibility: At Red Hat, we focus on giving customers the option to choose the right tools for the job—whether that’s working with NVIDIA, Intel, or AMD—allowing them to experiment and optimize for cost, performance, and speed. 🤝 Collaboration over Competition: In today’s AI ecosystem, it’s all about partnerships. Together, we’re building platforms that combine open-source innovation with the latest advancements in AI to accelerate results for everyone. 🧠 Champion-Challenger Model: AI development should be about continuous improvement. By testing models against each other, organizations can ensure they are always using the best model for the job while maintaining a consistent governance and control. It’s an exciting time in the world of AI, and I’m looking forward to continuing these conversations as we push the boundaries of what’s possible! #AI #PrivateLLMs #RedHat #OpenSource #MachineLearning #Innovation #DataSecurity #Collaboration Dino Vitale Chris Pozezanac Elastic Tony Gaughan Morphing Red Hat #RHELAI #InstructLab #GraniteModels
🚀 Reflecting on an insightful panel discussion about the future of Private Large Language Models (LLMs)! 🚀 It was a pleasure joining industry leaders to discuss the evolving landscape of AI, particularly the growing interest in Private LLMs and how organizations can leverage them to solve complex problems while ensuring data security and flexibility. Here are some key takeaways from our conversation: 🔒 Data Security and Privacy: In sensitive industries like financial services, controlling where data goes is crucial. Private LLMs ensure that prompts and fine-tuning data are kept secure and do not feed back into public models and realms. This is a game-changer for organizations with high data sensitivity. ⚙️ Smaller Models, Bigger Impact: While large models tend to attract attention, smaller models are key to the diversity of use cases as AI scales. They offer lower costs, reproducibility, and flexibility—especially as companies scale to handle hundreds of use cases. 🏗️ Infrastructure Flexibility: At Red Hat, we focus on giving customers the option to choose the right tools for the job—whether that’s working with NVIDIA, Intel, or AMD—allowing them to experiment and optimize for cost, performance, and speed. 🤝 Collaboration over Competition: In today’s AI ecosystem, it’s all about partnerships. Together, we’re building platforms that combine open-source innovation with the latest advancements in AI to accelerate results for everyone. 🧠 Champion-Challenger Model: AI development should be about continuous improvement. By testing models against each other, organizations can ensure they are always using the best model for the job while maintaining a consistent governance and control. It’s an exciting time in the world of AI, and I’m looking forward to continuing these conversations as we push the boundaries of what’s possible! #AI #PrivateLLMs #RedHat #OpenSource #MachineLearning #Innovation #DataSecurity #Collaboration Dino Vitale Chris Pozezanac Elastic Tony Gaughan Morphing Red Hat #RHELAI #InstructLab #GraniteModels
The recent T-Mobile and NVIDIA partnership is just #telecoms #news right? Or is it's a wake-up call for every industry. In our latest Medium article, discover: 1️⃣ Why your AI strategy might be bottlenecked by outdated #infrastructure 2️⃣ How AI-native networks are reshaping #data flow and decision-making 3️⃣ The hidden risks of ignoring this seismic shift in enterprise networking Don't let your competition outpace you in the AI race. Learn how to future-proof your business network for the #AI era. Read the full article here: https://lnkd.in/eumZPM9Y #AIInfrastructure #EnterpriseNetworks #Innovation
Don't miss this opportunity to build the future of your business along with our Gold Sponsor IBM at the Emerging Tech Summit North America 2024 in San Jose. With IBM, scale artificial intelligence to more parts of your business with greater confidence and stronger results. Wherever you are on your AI journey, IBM can help. Learn more here → bit.ly/49ufUKp #GenAI #AIStrategy #AIFuture #AIInnovation
We’re proud to collaborate with the top technology providers leading innovation in Data Science, AI, and ML. These incredible partners are shaping the future of the industry, offering cutting-edge solutions and unmatched expertise! 🌟 🔗 Get ready to connect with the best in the business at the NDSML Summit 2024. See you there! 👉 https://hubs.li/Q02TMCl60 #NDSMLSummit #DataScience #AppliedDataScience #MachineLearning #ML #ArtificialIntelligence #AI #EnterpriseAI #DeepLearning #DataEngineering #MLEngineering #DataPipelines #BigData #Automisation #GenerativeAI #EthicalAI #TrustworthyAI #LLMs #DataOps #MLOps HP, NVIDIA, Hewlett Packard Enterprise, Domino Data Lab, Scania Group, Neo4j, Weights & Biases, Oracle. AiTime Journey, ABI Research, CIO Applications Europe, AI Tools Network, DrivePly, CIOReview, AI & ML Events, DAN Global, KDnuggets, 10times
Accelerate your architecture to meet the demands of AI workloads. As AI becomes integral, IT Infrastructure faces a density journey with unique challenges at each level. Vertiv is your guide through the future of IT density. https://buff.ly/3VqWxOe 加速架構以滿足 AI 工作負載的需求。隨著 AI 成為不可或缺的一部分，IT 基礎設施面臨著密度之旅，每個層面都面臨著獨特的挑戰。維諦技術 Vertiv 是您瞭解 IT 密度未來的嚮導。 #ReachTech #vertiv #ITInfrastructure #AITransformation #AI
On this episode of the Six Five On The Road, hosts David Nicholson and Lisa Martin are joined by Broadcom and AMD, featuring Jas Tremblay from Broadcom and Robert Hormuth from AMD for an in-depth conversation on their collaborative efforts in supporting Open Architecture for AI. This discussion sheds light on how their partnership is setting the stage for more power-efficient and scalable AI solutions. Their discussion covers: - The strategic vision behind Broadcom and AMD's support for Open Architecture in AI. - The benefits of Open Architecture for businesses and developers in the AI space. - Achieving power efficiency in AI applications through collaborative innovation. - The role of scalability in future-proofing AI deployments. Insights into Broadcom and AMD's roadmap for AI development and support. Watch the interview here: https://lnkd.in/eaMkhv2U #Broadcom #AMD #OpenArchitecture #AI #powerEfficiency #scalability #TheSixFiveOnTheRoad #DaveNicholson #LisaMartin
💡 "𝗧𝗵𝗲 𝗳𝘂𝘁𝘂𝗿𝗲 𝗼𝗳 𝗔𝗜 𝗶𝘀 𝗮𝗯𝗼𝘂𝘁 𝘀𝗰𝗮𝗹𝗶𝗻𝗴 𝗱𝗮𝘁𝗮 𝗮𝗻𝗱 𝗶𝗻𝗳𝗿𝗮𝘀𝘁𝗿𝘂𝗰𝘁𝘂𝗿𝗲 𝘁𝗼 𝗺𝗲𝗲𝘁 𝘂𝗻𝗽𝗿𝗲𝗰𝗲𝗱𝗲𝗻𝘁𝗲𝗱 𝗱𝗲𝗺𝗮𝗻𝗱𝘀." - 𝗠𝗮𝗿𝗰 𝗛𝗮𝗺𝗶𝗹𝘁𝗼𝗻, 𝗩𝗣 𝗼𝗳 𝗦𝗼𝗹𝘂𝘁𝗶𝗼𝗻𝘀 𝗔𝗿𝗰𝗵𝗶𝘁𝗲𝗰𝘁𝘂𝗿𝗲 𝗮𝗻𝗱 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿𝗶𝗻𝗴, 𝗡𝗩𝗜𝗗𝗜𝗔 In our latest blog, Marc Hamilton shares insights into how AI is reshaping the data landscape and why addressing AI as a data center-scale challenge is critical. Together with NVIDIA, DDN is enabling organizations to harness the power of data intelligence and accelerate AI innovation at scale. 🌐 Don’t miss this exclusive interview and discover how we’re driving the next wave of AI breakthroughs: https://lnkd.in/giCxbnY3 👀 Video interview: https://lnkd.in/gaQsDGDn #AI #ArtificialIntelligence #ML #MachineLearning #LLMs #tech #technology #data #DataStorage #DataCenters #DataAnalytics #innovation #supercomputer #supercomputing
