2015 Canadian Surgery Forum02 the Usefulness and Costs of Routine Contrast Studies after Laparoscopic Sleeve Gastrectomy for Detecting Staple Line Leaks03 the Association of Change in Body Mass Index and Health-Related Quality of Life in Severely Obese Patients04 Inpatient Cost of Bariatric Surgery Within a Regionalized Centre of Excellence System05 Regional Variations in the Public Delivery of Bariatric Surgery: an Evaluation of the Centre of Excellence Model06 the Effect of Distance on Short-…
Canadian journal of surgery（2015）
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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
