A Resource of Targeted Mutant Mouse Lines for 5,061 Genes
Nature Genetics(2021)
Université de Strasbourg | RIKEN BioResource Research Center | Wellcome Sanger Institute | Baylor College of Medicine | MRC Harwell Institute | Institute of Developmental Genetics | Monterotondo Mouse Clinic | National Laboratory Animal Center | The Jackson Laboratory | SKL of Pharmaceutical Biotechnology and Model Animal Research Center | Centre for Phenogenomics | European Molecular Biology Laboratory | German Mouse Clinic | Czech Centre for Phenogenomics | Korea Mouse Phenotyping Center (KMPC) and Graduate School of Cancer Science and Policy | Korea Mouse Phenotyping Center (KMPC) and Lee Gil Ya Cancer and Diabetes Institute | CAM-SU Genomic Resource Center | Mouse Biology Program | Immune and Vascular Cell Network Research Center | Korea Mouse Phenotyping Center (KMPC) and BK21 Program for Veterinary Science
- 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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