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The term for the ability of a machine learning model to be understood by people is "explainability" or "interpretability", which refers to the degree to which the model's predictions or decisions can be explained that are understable to humans.
Large Language Models (LLMs) are advanced AI systems designed to process and generate human-like text. LLMs create coherent and contextually relevant text for various purposes like writing, translation, and content curation. LLMs have rapidly evolved, enabling sophisticated natural language processing tasks. Examples of LLMs include ChatGPT, Bard, etc.