Language Models are Few-Shot Learners

This paper introduces GPT-3, a large language model with 175 billion parameters. It demonstrates that large language models can perform a variety of language tasks with few or no examples, achieving impressive results in tasks like translation, question-answering, and text generation. The research highlights the potential of scaling up language models to improve their ability to learn and generalize from limited data.