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    USING EMBEDDED MACHINE LEARNING IN THE PHYSICAL WORLD TO DETECT TOXICITY IN SPOKEN LANGUAGE

    USING EMBEDDED MACHINE LEARNING IN THE PHYSICAL WORLD TO DETECT TOXICITY IN SPOKEN LANGUAGE by ABU NADA, AHLAM HUSNI

    Published 2023
    “…In our study, quantization demonstrated a significant reduction in model size by almost fourfold and a 3.3-fold decrease in RAM usage. The marginal average F1 score decrease was limited to only 1%. …”
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