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Current LLMs achieve only a 12.30% success rate in generating executable scientific code, highlighting a significant gap in their capabilities.
LLMs and historical data can be combined to create a reusable knowledge base that slashes the cost of root cause analysis in complex cloud systems, improving accuracy by up to 48%.
