Genetic Counselling Legislation and Practice in Cancer in EU Member States
European Journal of Public Health(2024)
Hannover Med Sch | Sciensano | Ghent Univ Hosp | Erasmus MC | European Alliance Personalised Med | Med Univ | Catalan Inst Oncol | Victor Babes Univ Med & Pharm | Inst Curie | Minist Hlth | Reg Skane | Mater Dei Hosp | Vilnius Univ | Lab Natl Sante | Univ Debrecen | Inst Oncol | Riga East Clin Univ | Univ Tartu | Unilabs | Univ Porto | St Catherine Specialty Hosp | Labdia Labordiagnost | Department of Human Genetics | Inst Hematol & Blood Transfus | Cyprus Inst Neurol & Genet | Ctr Res & Technol Hellas | Med Univ Warsaw | Univ Helsinki | Mater Misericordiae Univ Hosp | Radboud Univ Nijmegen | State Res Inst Ctr Innovat Med | Rigshosp | Univ Hosp Ctr Zagreb | Univ Cattolica Sacro Cuore | Hannover Med Sch MHH
- 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
