20min chapter

Machine Learning Street Talk (MLST) cover image

OpenAI GPT-3: Language Models are Few-Shot Learners

Machine Learning Street Talk (MLST)

CHAPTER

Advancements in Language Processing

This chapter explores the evolution of language models, contrasting autoregressive models like GPT-3 with denoising auto-encoders such as BERT. It examines essential advancements, the significance of scaling, and the implications of these models in commercial settings, while also engaging with public perspectives. The discussion highlights GPT-3's unique capabilities in natural language processing and its ability to generalize tasks with minimal adjustments.

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