openai/gpt-3
GPT-3: Language Models are Few-Shot Learners
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[arXiv link](https://arxiv.org/abs/2005.14165) > Recent work has demonstrated substantial gains on many NLP tasks and benchmarks by pre-training on a large corpus of text followed by fine-tuning on a specific task. While typically task-agnostic in architecture, this method still requires task-specific fine-tuning datasets of thousands or tens of thousands of examples. By contrast, humans can generally perform a new language task from only a few examples or from simple instructions – something wh
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