A Macro-Scale Recurrent Neural Network (RNN) formalizes deliberation within a Runtime Mixture-of-Models architecture, enabling iterative refinement of a consensus state. It utilizes a semantic forget gate to manage memory efficiently, allowing ensembles of smaller models to achieve high performance without proportional VRAM scaling.
A Macro-Scale Recurrent Neural Network is a system that helps multiple smaller AI models work together to solve complex problems. It allows them to refine their collective answer step-by-step, much like humans deliberate, without needing a huge amount of computer memory. This enables smaller, more accessible AI models to perform as well as much larger, more expensive ones.
Deliberation RNN, Runtime MoM RNN, NSED Deliberation Engine
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