SASQ: Enhancing Quantization-Aware Training for LLMs

This research focuses on improving the efficiency of training Large Language Models through static activation scaling for quantization. The paper likely investigates methods to maintain model accuracy while reducing computational costs, a crucial area of research.

• •Focuses on improving the efficiency of LLM training.
• •Utilizes static activation scaling for quantization-aware training.
• •Potentially reduces computational costs while preserving model accuracy.