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 task-specific training examples, achieving state-of-the-art results in many cases. The model's ability to generalize from just a few examples highlights a significant step towards more flexible and general-purpose AI systems.