Abstract: We introduce a novel framework to automate flight planning processes using large language models (LLMs) to identify flight operator's preferences. Our framework integrates the recent ...
Abstract: Detecting anomalies in general ledger data is of utmost importance to ensure the trustworthiness of financial records. Financial audits increasingly rely on machine learning (ML) algorithms ...
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