A method to mitigate hallucinations in large language models

Large language models (LLMs), artificial neural networks-based architectures that can process, generate and manipulate texts in various human languages, have recently become increasingly widespread. These models are now being used in a wide range of settings, to rapidly find answers to queries, produce content for specific purposes and interpret complex texts.

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