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 even zero examples, achieving impressive results in tasks like translation, question answering, and text generation. The study highlights the potential of large language models to learn and generalize from limited data, paving the way for more versatile and adaptable AI systems.