Recent Salesforce conference known as Dreamforce unveiled the Einstein 1 Platform that includes an AI trust layer and is representative of the future of generative AI.
Results produced or generated by the generative AI
It sure might be nice to have a kind of solid grounding that when you use business data in your prompts, a double-checking occurs to ensure that the latest version of the data is being plopped into the prompt and not an outdated set.The business data about your customers includes their names and their respective sales figures, something that normally would be of a proprietary nature to your company.
If possible, you might seek out a generative AI app that has explicit licensing regarding a zero-retention policy. The AI maker will be making a promise that they have devised or set up their AI app to not retain the prompts that you enter.
Regrettably, some people get lulled into assuming that a toxicity analyzer is omniscient. Wrong. The matter is compounded by skipping any semblance of human scrutiny or a studious look-see of the output. Please don’t fall into that unsafe and risky trap. You can surround the generative AI with a set or suite of elements that will take on those chores. There isn’t a need to necessarily find a generative AI app that internally includes those added protections . Instead, you might find a third party that has put together those into a trust layer for you. The trust layer sits outside of the generative AI and serves as your protector or trust-inducing ally when using the generative AI.
Businesses are beginning to realize that using generative AI without any notable encompassing trust layer is a potential disaster in the making. A raw or naked generative AI that is not encased or at least surrounded by a viable trust layer is a pure risk at the get-go. Enterprises that are in the know are right to expect that any use of generative AI must entail a trust layer encapsulation. Period, end of story.
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