Addition is All You Need for Energy-efficient Language Models

This innovative research demonstrates how simple addition operations can be used to create more energy-efficient language models without sacrificing performance.

The authors propose a novel architecture that significantly reduces computational complexity and energy consumption while maintaining model capabilities.

The study provides empirical evidence showing substantial energy savings compared to traditional transformer architectures.