Infinite-Parameter LLMs via Live Data Weight Adaptation

A method for generating and adapting model weights from live interaction data allows frozen LLMs to incorporate real-time user knowledge. This approach moves beyond static pretraining by integrating runtime information directly into the model's parameters rather than relying solely on context windows.