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

Machine Learning Street Talk (MLST)

CHAPTER

Evaluating Abstract Generative Capabilities in Language Models

This chapter examines the difficulties in assessing the generative abilities of language models like GPT-3, focusing on distinguishing between interpolation and memorization of training data. It highlights the necessity for improved generalization tests and the tension between simplified problems and real-world applications.

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