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Large Concept Models (LCM) is a large language model developed by Facebook Research that operates in the representation space of sentences, using SONAR embedding space to support text in up to 200 languages and speech in 57 languages. LCM is a sequence-to-sequence model for autoregressive sentence prediction, and a variety of methods are explored, including mean square error regression, diffusion-based generative variants, etc. These explorations used a 1.6B parameter model and approximately 1.3T of training data. The main advantages of LCM include its ability to operate on high-level semantic representations and its ability to handle multilingual data. In addition, the open source nature of LCM enables researchers and developers to access and use these models, promoting the development of natural language processing technology.
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