Run:ai (Acquired by NVIDIA)的动态

?? Sam Altman has shared his appreciation for DeepSeek's R1 model, calling it particularly impressive for the value it delivers at its price point. ?? He also mentioned that OpenAI is set to announce some exciting releases in the near future. ???? #AI #Innovation #DeepLearning #OpenAI #TechNews #CloudComputing #DevOps #AzureCloud #DigitalTransformation #TechInnovation #CloudSolutions #DevOpsCulture #AzureDevOps #TechLeadership #InfrastructureAsCode #Automation #AzurePipelines #CloudSecurity #DevOpsBestPractices #TechTrends #AgileDevOps #AzureSolutions #ContinuousDelivery #CloudDevelopment #ITLeadership

ICYMI: We’re psyched to announce v3.22 of our end-to-end #opensource #machinelearning & #ai platform. We’ve now built in new wizard functionality to help you create experiments instead of writing code. As well, we've rolled out a new Hyper-datasets grouping capability so that Scale and Enterprise customers can sample by property type (frame or region of interest). We've also updated statistics so that you can calculate them in real time, with greater choice of what to report on (not just labels). In fact, any property can be specified, giving you more hands-on UI-based content exploration capabilities. You can now look at your dataset in real time without exporting it, enabling you to understand what’s there. The new release also includes the availability of our previously announced Resource Allocation & Policy Manager available for Enterprise customers (see the news release here: https://lnkd.in/e6DJJ9iF). This new functionality enables you to control resource reservation, quota management, and spillover and prioritization on a more granular level to help you optimize your compute. We’ve just published a new blog that dives into how to use it, which you can find here: https://lnkd.in/eW7m2jTc Happy reading! #mlops #llmops #gai #genai #generativeai

What tools do you think are essential for an efficient MLOps pipeline? Alexander Machado, Head of Trustworthy AI, covers key factors in selecting the optimal setup for machine learning operations. #MLOps #AI #Infrastructure #DataScience #MachineLearning #DevOps #TechTools #AIEssentials #MachineLearningTools #DataScienceTips

?? Key Challenges in Gen AI & LLM Development: Insights from Recent Study ?? The empirical study scrutinized 29,057 questions from the OpenAI developer forum, shedding light on crucial aspects such as - Custom integration & deployment requirements - Development complexities - API configurations & issues - Finetuning difficulties These insights underscore the need for a more streamlined approach in Gen AI development. To address these challenges, Gen AI platforms must offer: ??Ease of integration & cloud agnostic solutions ?? Self-hosted/VPC deployment options ?? Low-Code/No-Code development tools ?? Effortless finetuning within the platform ?? A unified platform for all Gen AI development requirements #GenAI #LLM #AIDevelopment #TechInnovation #DeveloperInsights #AI #DeveloperForum #OpenAI #Integration #CloudSolutions #DevelopmentPlatforms #FineTuning #UnifiedPlatform

?? Entering a New Era of Generative AI ?? https://lnkd.in/gvBKArxR ?? Join Adrián González Sánchez, author of "Azure OpenAI Service for Cloud Native Applications" and a Data & AI specialist at Microsoft, for an expert-led session on the current GenAI landscape. Discover actionable strategies to address key topics such as: ? API management?? ? Internal model governance?? ? Content safety?? ? And more...? This webinar will provide you with the tools to navigate the GenAI frontier and tackle challenges like governance, internal monitoring, and security. ?? Key Takeaways:?? - Current state of GenAI/LLM adoption & how to advance?? - Best practices for combining models, managing APIs, and ensuring content safety?? - Tackling governance, internal monitoring, and security challenges? Don’t miss out on this opportunity to gain insights that will help you stay ahead in the GenAI race! ?? #AI #ArtificialIntelligence #GenerativeAI #MachineLearning #LLM #APIManagement #ModelGovernance #ContentSafety #AIWebinar #AzureOpenAI #LLMOps #DataSecurity #CloudNative #AIEthics #AIandCloud #AIAdoption #DataScience #FutureOfAI #AICommunity #TechInnovation #DigitalTransformation #AILeaders #OpenAI

What tools do you think are essential for an efficient MLOps pipeline? Alexander Machado, Head of Trustworthy AI, covers key factors in selecting the optimal setup for machine learning operations. #MLOps #AI #Infrastructure #DataScience #MachineLearning #DevOps #TechTools #AIEssentials #MachineLearningTools #DataScienceTips

Confused about AIOps, MLOps, and LLMOps? Here's your simple guide. Think of AIOps as your infrastructure guardian. It's watching your IT systems 24/7, catching and fixing issues before they become problems. From real-time monitoring and smart alerts to automated incident response, it keeps your systems running smoothly without constant human intervention. MLOps (Machine Learning Operations) is your complete lifecycle manager. From data collection to deployment, it ensures your machine learning models stay accurate and reliable in production. If you're deploying ML models, you need this to prevent model drift and maintain quality. Then there's LLMOps - a specialized extension of MLOps built for large language models. If you're working with GPT, LLaMa, or similar LLMs, this is your toolkit for prompt engineering, model chaining, and keeping your models healthy by tracking their performance and catching issues like bias or accuracy drift in real-time. Here's the truth: The future winners in AI will be those who master these operations. Some organizations might need all three, while others might focus on just one. #AIops #MLOps #LLMOps #TechOps #Innovation

With Deepseek being released, Even Big Tech is joining the race! In this video, I break down how DeepSeek’s open-source launch is reshaping the AI landscape and its concerns. I also share another FREE, open-source alternative that outperforms both DeepSeek AI and OpenAI on multiple levels ?? This is a fundamental paradigm shift in AI development to innovate, experiment and build:?? AI is moving from imitation (SFT) to true reasoning (RL), unlocking new strategies and insights. Just look at how the landscape is shifting so fast within hours/days of release: ?? Microsoft is making OpenAI’s O1 reasoning model free in Copilot. ?? Google is rolling out deeper AI integrations across its ecosystem. ?? Hugging Face is working on Open-R1, signaling the future of open AI. ?? Amazon Web Services (AWS) & Microsoft Azure are making it easier than ever to deploy private AI models. The AI race is accelerating, and now anyone can be a part of it. If cost and access weren’t barriers, what would you build? Tag your developers and innovators ?? #AI #DeepSeek #OpenSourceAI #MicrosoftAI #BigTech #GoogleAI #OpenAI #HuggingFace #MachineLearning #TechInnovation #FutureOfAI #alibaba #qwenai

?? OpenAI’s Next Big Move: Orion is Coming! OpenAI is gearing up to release Orion—and it’s set to be a game-changer. ?????? ??????????????: ?? Target Release: December 2024 ?? Power Boost: Expected to be 100x more powerful than GPT-4 ?? Enterprise-First Access: Orion will first go to OpenAI’s key enterprise partners, allowing for exclusive early use ?? Azure Integration: Microsoft is preparing to host Orion on Azure ?????? ???????? ??????????????: ? Shift to Enterprise-First: OpenAI is focusing on business-first adoption. ? New AI Deployment Standards: This strategy could redefine how advanced AI reaches the market. ? Impact for Developers & Businesses: Companies will have first-mover advantage in shaping Orion’s capabilities. ?????????????????? ????????????: ? Orion’s gradual release means refined, scalable AI applications are on the horizon. ? Once tested, the features will reach a broader audience. ? Orion represents a major step toward OpenAI’s ambition for AGI. What are your thoughts on this shift? Is the future of AI enterprise-led? Let’s connect! ?? Source: https://lnkd.in/g-FFr2Pw #ai #enterpriseai #genai #llms #agents #openai #azure #gpt

Your business needs to embrace the next in AI to stay ahead. As Gen AI rapidly evolves, leveraging tools that think, reason, and innovate is crucial. Such as the latest OpenAI o1 model, that I think has been designed to tackle complex challenges with a depth previously unseen in AI. Here are top 3 reasons why this will benefit your business: ?????????????????? ?????????????????? ??????????????: o1’s deep reasoning unlocks new levels of insight in complex fields like healthcare research and financial modeling, enabling more informed, data-led decisions. ???????????????????????? ????????????????????:?With advanced problem-solving, o1 improves efficiencies across critical business processes, driving innovation and reducing costly errors. ???????????????? ?????? ???????? ???? ??????????????????????: Built-in safety protocols ensure that AI decisions align with your company’s values and regulatory standards, minimizing risks in sensitive operations. Additionally, with OpenAI’s o1 model now available through Microsoft Azure, you can seamlessly integrate these capabilities into your existing infrastructure. Get to know more about this, here: https://lnkd.in/gwgdjJbw #GenAI #AI #OpenAI #Microsoft #Azure #Technology Image Source: OpenAI