Language models are few-shot learners

Language models are few-shot learners

Large language models can learn new tasks with minimal examples.

Visit Language models are few-shot learners

About Language models are few-shot learners

“Language models are few-shot learners” is a landmark research work presented at NeurIPS 2020, introducing and investigating the remarkable capability of large-scale language models to generalize to new tasks with very little supervision. The paper demonstrates that language models, such as GPT-3, can efficiently learn and perform a wide range of natural language tasks with only a handful of examples, fundamentally advancing state-of-the-art in general AI and NLP research. It is aimed at AI researchers, developers, and anyone interested in the frontier of artificial intelligence and language model capabilities.

Resources

Product Website

Visit Language models are few-shot learners's official website for product details and getting started.

Visit website →

NeurIPS Conference Overview

Explore the details and proceedings of the NeurIPS conference where the paper was presented.

View conference details →

NeurIPS Conference

Information about the NeurIPS 2020 conference where the paper was presented, including related talks and discussions.

Explore NeurIPS 2020 →