微软研究峰会2021 | 讲座：大规模自监督预训练：从语言到视觉
Over the past years, large-scale pretrained models with billions of parameters have improved the state of the art in nearly every natural language processing (NLP) task. These models are fundamentally changing the research and development of NLP and AI in general. Recently, researchers are expanding such models beyond natural language texts to include more modalities, such as structured knowledge bases, images, and videos. With this background, the talks in this session are expected to introduce the latest advances in pretrained models, and also discuss the future of this research frontier. Hear from Li Dong (Microsoft Research Asia), in the first of three talks on recent advances and applications of language model pertaining.
Learn more about the 2021 Microsoft Research Summit: https://Aka.ms/researchsummit