Language Models are Few-Shot Learners

This paper introduces GPT-3, a large-scale language model with 175 billion parameters. It demonstrates that GPT-3 can perform various tasks with few or zero examples, sometimes even outperforming state-of-the-art models. The model shows promising results in areas like translation, question-answering, and generating novel content, indicating the potential of large language models to achieve general-purpose language understanding and generation capabilities.