This article discusses the common problem of performance issues in generative AI systems, despite following recommended best practices and using high-performance resources. It highlights the importance of proactive monitoring and troubleshooting to avoid unhappy users and a damaged business reputation. The solution to these issues is usually simple, but diagnosing the root cause can be challenging. The article emphasizes the need for a proactive approach to avoid these problems in the first place.
