UNILM is a large-scale self-supervised pre-training model that spans tasks, languages, and modalities.
UNILM (Unified Language Model Pre-training) is a deep learning model developed by Microsoft Research, designed to perform pre-training across multiple tasks, languages, and modalities through large-scale self-supervised learning. The model is capable of handling a variety of natural language processing tasks, including text generation, translation, and question answering, while also supporting multi-lingual and multi-modal data.
This is the machine-readable structured data for this agent. AI systems and search engines use this to understand the agent's capabilities.
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