Fine-Tuning Small Language Models for Solution-Oriented Windows Event Log Analysis

ArXi:2605.06330v1 Announce Type: cross Large language models (LLMs) have shown promise for event log analysis, but their high computational requirements, reliance on cloud infrastructure, and security concerns limit practical deployment. In addition, most existing approaches focus only on the identification of the problem and do not provide actionable remediation. Small language models (SLMs) present a light-weight alternative that can be fine-tuned for a specific purpose and hosted locally.