Language Models are Few-Shot Learners

This paper introduces the GPT-3 model, a large language model with 175 billion parameters. The study demonstrates that GPT-3 can perform various natural language tasks with few or even zero examples, achieving competitive results compared to state-of-the-art fine-tuned models. This suggests that large language models can generalize to new tasks more effectively than smaller models, paving the way for more versatile and adaptable AI systems.