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    • Application of Statistics in Biomedical Research

    Sourav Padhee,Sakir Ahmed

    Journal of Integrative Medicine and Research（2024）

    Department of Statistics

    Cited 0|Views5
    Abstract
    Abstract Statistical tools for data analysis vary depending on the kind of data and measurement scales used. The objective of this review is to offer a deep insight into these various data types and measuring systems. This overview offers comprehensive details on the various data kinds and measurement scales along with examples. Applying the proper statistical techniques and drawing reliable conclusions require knowledge of the relevant data type or analysis procedure.
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    • Pretraining has recently greatly promoted the development of natural language processing (NLP)
    • We show that M6 outperforms the baselines in multimodal downstream tasks, and the large M6 with 10 parameters can reach a better performance
    • We propose a method called M6 that is able to process information of multiple modalities and perform both single-modal and cross-modal understanding and generation
    • The model is scaled to large model with 10 billion parameters with sophisticated deployment, and the 10 -parameter M6-large is the largest pretrained model in Chinese
    • Experimental results show that our proposed M6 outperforms the baseline in a number of downstream tasks concerning both single modality and multiple modalities We will continue the pretraining of extremely large models by increasing data to explore the limit of its performance
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