AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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Clinical text de-identification cannot be reduced to named-entity recognition and local hybrid or transformer pipelines remain the most defensible baseline for routine PHI detection; LLMs are better suited to defined tasks in augmentation, transformation, and assurance.
Medical large language models are evaluated through factuality, physician preference, source support, retrieval quality, safety, and clinical utility. These measures describe content and performance while leaving unresolved whether a generated claim meets the requirements for a specified clinical use. This article prop...
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