IBM (NYSE: IBM) today announced additions to its Granite portfolio of large language models intended to deliver small, efficient enterprise AI. The new Granite 3.2 models include: A new vision language model (VLM) for document understanding tasks that IBM said demonstrates performance that matches or exceeds that of significantly larger models
[SPONSORED POST] In this sponsored article, Eric Herzog, CMO of Infinidat, suggests that as part of a transformative effort to bring one’s company into the AI-enhanced future, it’s an opportunity to leverage intelligent automation with RAG to create better, more accurate and timely responses. Further, to optimize your storage systems for this enhancement, look for industry-leading performance, 100% availability and cyber storage resilience. They make you RAG-ready.
AI is rapidly transforming industries, becoming a critical driver of innovation. As AI’s influence expands, organizations are increasingly turning to private AI solutions to maintain control over their data, ensure regulatory compliance, and customize AI models to meet specific needs. According to IDC’s Spotlight report Powering Innovation: Private AI Infrastructure in the Enterprise, experienced organizations […]
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