# Automated Root Causing of Cloud Incidents using In-Context Learning with GPT-4. (arXiv:2401.13810v1 [cs.CL])


Root Cause Analysis (RCA) plays a pivotal role in the incident diagnosis process
for cloud services, requiring on-call engineers to identify the primary issues
and implement corrective actions to prevent future recurrences. Improving the
incident RCA process is vital for minimizing service downtime, customer impact
and manual toil. Recent advances in artificial intelligence have introduced
state-of-the-art Large Language Models (LLMs) like GPT-4, which have proven
effective in tackling various AIOps problems, ranging from code authoring to
incident management. Nonetheless, the GPT-4 model's immense size presents
challenges when trying to fine-tune it on user data because of the significant
GPU resource

[Read Full Article](http://arxiv.org/abs/2401.13810)