RIFT: Scalable Fault Assessment for LLM Accelerators with Reinforcement Learning

This article introduces RIFT, a methodology for assessing faults in LLM accelerators. It leverages reinforcement learning to achieve scalability. The focus is on improving the reliability and performance of hardware designed for large language models.