IBM Granite 3.2 models are here, and they’re delivering competitive results at a lower cost. Here's what's new: ?? ?????????????????? ????????????????????????: Follows complex instructions without sacrificing general performance or safety. ??? ???????????????????? ??????????: Specialized on vision tasks and optimized for document understanding. ? ?????????????? ???????????????? ??????????????: Enables safe and reliable AI responses in slimmer models. Discover how these open source models offer next-gen performance, trust, and cost efficiency: https://ibm.co/4gXgHqm
IBM watsonx
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Watsonx is an enterprise-ready AI and data platform designed to multiply the impact of AI across your business.
关于我们
IBM watsonx is an AI and data platform with a set of AI assistants designed to help you scale and accelerate the impact of AI with trusted data across your business. The core components include: a?studio for new foundation models, generative AI and machine learning;?a fit-for-purpose data store built on an open data lakehouse architecture; and a?toolkit to accelerate AI workflows that are built with responsibility, transparency and explainability.? The watsonx AI assistants empower individuals in your organization to do work without expert knowledge across a variety of business processes and applications, including automating customer service, generating code, and automating key workflows in departments such as HR. Put AI to work with watsonx.
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https://ibm.biz/BdMwHN
IBM watsonx的外部链接
- 所属行业
- IT 服务与咨询
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- New York，NY
动态
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IBM watsonx转发了
Can you build agentic workflows without needing extremely large, costly LLMs? The answer is yes. In this tutorial, we'll show you how with IBM Granite. ?
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? Automated AI model documentation at a global bank ? Streamlined AI governance for a US-based financial services firm ? Enhanced AI model traceability for a global investment firm Vectice integrated with IBM watsonx to deliver a seamless, end-to-end solution designed to streamline compliance, maintain governance and accelerate AI innovation. Here's how customers are benefitting → https://ibm.co/4iUSOkt
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There's been a lot of talk of organizations leveraging 3rd party models, but AI governance has taken a backseat. ???????? ??????????????'?? ???? ?????? ????????. AI governance is key for maintaining AI that is: ? Safe ? Transparent ? Responsible Here's how to leverage these models while maintaining proper governance for your organization → https://ibm.co/4hjWXxi
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IBM watsonx转发了
We’re excited to announce new collaborations with NVIDIA! Learn more about how IBM and NVIDIA are working together to help build AI solutions for enterprises: https://ibm.co/3FE8HO0
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? Fulfill online orders ? Simplify and optimize operations ? Manage customer service via call centers See how companies like Advance Auto Parts and Tiendas Del Sol - Woolworth are leveraging AI to accomplish these tasks today: https://ibm.biz/BdG5Jj
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Is bigger always better? In the case of AI models, not always. In her latest article, Maribel Lopez interviewed fellow IBMer Kate Soule to discuss some of the benefits of smaller models. Check it out here??
Helping companies connect technology to business value. I'm a technology industry analyst, speaker, author, and business advisor
As part of my ongoing series of video and audio AI interviews, I am asking executives to share emerging market trends and advice on designing AI strategies. I will share these finding in a series of LinkedIn articles for those who would rather read the key takeaways. In my latest interview, Kate Soule from IBM made a compelling case for why "bigger isn't always better" when it comes to AI models. Hence, my latest article explores: ? Why smaller models (2-8B parameters) can significantly reduce operational costs ? How "fit-for-purpose" AI delivers better ROI for targeted business applications ? The availability of new vision features that support document understanding ? Strategic guidelines for making smarter AI model decisions As the AI landscape continues to evolve, business leaders need to think strategically about which models will deliver the most value at the right cost. The shift from "one model to rule them all" to a portfolio approach is already underway. What do you think? Does your organization have experience using smaller, specialized models? If so, did you achieve the outcomes you had hoped for? #ArtificialIntelligence #EnterpriseAI #IBMGranite #AIStrategy #BusinessIntelligence For more insights from my executive interview series, follow my podcast:?https://bit.ly/3R0Etal?and YouTube channel:?https://lnkd.in/eCr4gbud
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How are AI models created? Watch IBMer Martin Keen walk through a ??? step framework for building and deploying them below.??
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At Virtual Agents Dev Day hosted by IBM TechXchange, IBMer?Armand Ruiz discusses how this tech is propelling the next wave of AI productivity. Check it out here??
A virtual agent combines natural language processing, intelligent search, and robotic process automation in a conversational UI. The recent Virtual Agents Dev Day hosted by IBM TechXchange, kicked off by Armand Ruiz, IBM VP of Product Management – AI Platform, featured more than 30 AI experts demonstrating and giving you the chance to work with new AI agents, IBM watsonx assistants, open source tools, large language models (LLMs), and AI applications. Check out the highlights and watch the sessions — all free on this link: https://ibm.co/3R3ePSk ----------- #AIAgents #LLM #chatbot