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Large Language models and the reverse Turing test Terrence J. Sejnowski terry@salk.edu Salk Institute for Biological Studies University of California, San Diego Large Language Models (Alms) have been
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Large language models are artificial intelligence systems that can generate human-like text and speech.
Organizations and researchers developing large language models are required to file them.
Large language models can be filled out by providing detailed information about the model's architecture, training data, and performance metrics.
The purpose of large language models is to enable better natural language processing tasks, such as text generation, translation, and summarization.
Information such as the model's size, training data sources, evaluation methods, and potential biases must be reported on large language models.
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