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resources may be provided by the Jean-Zay supercomputer. Large language models (LLMs) and deep contextual embeddings (i.e., BERT and its variants) are trained on large corpora, usually extracted from various
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implemented if the candidate has or acquires family obligations during the project (i.e. marriage or relationship with recognized equivalent status to a marriage, dependent children who are actually being
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social health. Scientific research has amply demonstrated the positive impact of these behaviours on the overall health and well-being of individuals, particularly among school-age children (i.e. Tremblay
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, with conversion losses of the order of 1% in the THz range, i.e. only 10X less than electronic mixers [3]. It is therefore possible today to imagine a very broadband (0-1 THz) spectrum and/or vector