Private LLM Inference.
The more I use AI the more I think about privacy.
Most of us type prompts without giving it much thought. Sometimes it's a simple question other times it's work related information personal ideas or something we wouldn't normally share publicly.
That made me wonder where does all of that data go?
While reading about @OpenGradient I came across the idea of Private LLM Inference. What caught my attention wasn't the technical side it was the focus on giving users more confidence when interacting with AI.
I think privacy is becoming one of the biggest topics in AI.
People want smarter and faster responses but they also want to know their information isn't being exposed or misused.
As AI becomes part of everyday life trust will matter more and more. For me privacy shouldn't be something users have to sacrifice just to benefit from new technology.
That's one reason I'm interested in projects exploring private AI infrastructure. The conversation around AI isn't only about what models can do it's also about how they handle the people who use them.
💭 When using AI what matters more to you privacy speed accuracy or cost?
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