Your LLM is too large: How I generate production-ready failure analysis on a toaster

This blog post discusses the author's innovative approach to generating production-ready failure analysis on edge computing devices using a combination of pattern preprocessing and small LLMs instead of relying on large language models alone. The author demonstrates how this method drastically reduces operational costs and improves analysis speed while maintaining accuracy. By implementing a multilayer system to filter out irrelevant log details, the author presents a scalable solution that can be applied to various domains like metrics anomalies and security events.