Language Models are Few-Shot Learners

This paper introduces GPT-3, a large language model with 175 billion parameters. It demonstrates that GPT-3 can perform various natural language tasks with few or no examples, achieving state-of-the-art results on many benchmarks. The model's ability to generalize from a small number of examples highlights a significant step towards more flexible and powerful AI systems that can quickly adapt to new tasks.