Paper Review: Language Models are Few-Shot Learners, presented by Rupak Das

In this presentation, Rupak Das covers Language Models Are Few-Shot Learners, by Brown et al. The paper introduces GPT-3 and describes tests for the model’s performance using a few shot setting and a dataset. Both methods have advantages and disadvantages, but the fine tuning method requires a large dataset for each task, while the few short learning method uses a small dataset.

Presentation Link: https://psu.mediaspace.kaltura.com/media/Group+Meeting/1_44qxv9rz