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Existing operational data analytics frameworks leave significant gaps when applied to the complexities of modern, large-scale graph processing ecosystems, motivating a new holistic approach.
Lightweight LLMs like Gemini 2.0 and GPT-3.5 can extract key metadata from cloud incident reports with surprisingly high accuracy (75-95%), offering a cost-effective alternative to larger models.
