Hey everyone,
A recent chat with my advanced voice mode got me thinking about the latest advancements in fine-tuning AI models based on real-world user interaction metrics. I’m sure it’s been explored, but the idea is to refine AI output (text, images or otherwise) based on user feedback by whatever means the user interacts with the device. I.e I can’t remember where I heard this, but some sort of generative operating system where every time you turn it on, it’s slightly different and more tailored towards being rhetorical ultimately OS and is primarily trained on user interactions with it in the past via keyboard and mouse.
I’m curious about the cutting-edge projects or research in this space. What are the most advanced or innovative approaches to leveraging user interaction data to fine-tune AI models? How are these projects shaping the future of AI-human interaction?
Thanks in advance!
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