Re-imagining how we train LLMs using physics-based AI
Machine-learning based Generative AI is inherently inefficient. Training models by sifting findings again and again until a suitable output is generated is a time-consuming – end energy-consuming – process. So, could there be a better way to look at training our AI systems?
Well, one possible option is physics-based AI, where training is viewed as an energy grid, and the best possible route though that grid mapped to find outputs. It’s a novel way of thinking, but it could change our whole approach to AI.
Joining us again today to find out more is Ray Beausoleil, a physicist, senior fellow…
The skinny
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