broadly, Liquid focuses on picking architectures that have really high throughput/low latency that are close to full attention (slow) in terms of expressivity, and then we do the data work to close any remaining gap. so the big goal is to make it very very fast to encode data without any loss in quality.
broadly, Liquid focuses on picking architectures that have really high throughput/low latency that are close to full attention (slow) in terms of expressivity, and then we do the data work to close any remaining gap. so the big goal is to make it very very fast to encode data without any loss in quality.