RUCAIBox/MVP
This repository is the official implementation of our paper MVP: Multi-task Supervised Pre-training for Natural Language Generation.
This helps data scientists, machine learning engineers, and natural language processing practitioners create systems that generate text for various tasks. You input existing text data, often labeled for specific tasks like summarization or question answering, and it outputs a fine-tuned language generation model. This tool is for those who need to build or improve AI models that can generate human-like text.
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Use this if you need to quickly adapt a powerful text generation model for tasks like summarizing articles, generating dialogue, creating questions from text, or transforming data into written descriptions.
Not ideal if you are looking for a plug-and-play application for end-users, rather than a framework for developing and fine-tuning language generation models.
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Apache-2.0
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Last pushed
Nov 01, 2022
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