There’s an easy way to get started with generative AI without long procurement cycles or substantial deployments - here’s how
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Many organizations have addressed these concerns with specific guidance on when and how to use generative AI with their own proprietary data. Other organizations have outright banned its use over concerns of IP leakage or exposing sensitive data. But what if I told you there was an easy way forward already sitting behind your firewall either in your datacenter or on a workstation? And the great news is it doesn't require months-long procurement cycles or a substantial deployment for a minimum viable product. Not convinced? Let me show you how.Depending on what you're doing with generative AI, workloads can be run on all manner of hardware in a pilot phase. How? There are effectively four stages of data science with these models.
Public cloud is great for many things, but you're going to pay by the drip for a PoC, it's very easy to burn through a budget with users who are inexperienced at prompt engineering. Public cloud also doesn't offer the same safeguards for sensitive and proprietary data.
So go forth, take an afternoon and get your own PoC under way, and once you're ready for the next phase we're more than happy to help.
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