Zebrium offers an unsupervised machine learning tool to quickly and accurately identify the root cause of incidents. This new beta feature utilizes GPT-3, a language model that can generate plain language summaries from logs. In other words, Zebrium’s ML technology analyzes relevant data to pinpoint the first event in a sequence (likely the cause) as well as associated events and anomalies. GPT-3 further enhances this process by scanning the internet for similar incidents and providing concise summaries in English so users can easily understand what happened. To learn more about how Zebrium’s GPT-3 integration works, check out their blog post here: https://www.zebrium.com/blog/real-world-examples-of-gpt-3-plain-language-root-cause

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