Has anyone considered the potential of integrating the recent ILP breakthrough into transformer models? Given ILP's prowess in optimization, I'm curious about its application in enhancing transformer efficiency, especially in inference speed. Could this ILP method streamline computational resource allocation in transformers, leading to a significant leap in AI model optimization? Keen to hear thoughts on practical challenges and theoretical implications of merging these two fields.