Using lightweight LLMs to cut incident response times and reduce hallucinations

Researchers from the University of Melbourne and Imperial College London have developed a method for using LLMs to improve incident response planning with a focus on reducing the risk of hallucinations. Their approach uses a smaller, fine-tuned LLM combined with retrieval-augmented generation and decision-theoretic planning. The three steps of the method for incident response planning The problem they target is familiar: incident response is still largely manual, slow, and reliant on expert-configured playbooks. Many organisations … More →

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