New kinds of models will supercharge what we do with AI
What if you could have conventional large language model output with 10 times to 20 times less energy consumption?It turns out there are new design concepts powering a new generation of AI platforms that will conserve energy and unlock all sorts of new and improved functionality, along with, importantly, capabilities for edge computing.
Enter the rise of new Liquid Foundation Models, which innovate from a traditional transformer-based LLM design, to something else.covers some of the design that’s relevant here. I’ll include the usual disclaimer: I have been listed as a consultant with Liquid AI, and I know a lot of the people at the MIT CSAIL lab where this is being worked on. But don’t take my word for it; check out what Franzen has to say.
He talked about the use of these post-transformer models on devices, cars, drones, and planes, and applications to predictive finance and predictive healthcare.“They can hear, and they can talk,” he said.Since a recent project launch, Hasani said, Liquid AI has been having commercial discussions with big companies about how to apply this technology well to enterprise.
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