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

Machine Learning Street Talk (MLST)

CHAPTER

Understanding Language Model Architectures

This chapter explores the intricacies of language model architectures, comparing autoregressive models like GPT-3 with bidirectional models such as BERT. It delves into their respective strengths in handling tasks like question answering and generative outputs, highlighting the impact of context and architectural design on model performance. The discussion also touches on practical applications and the limitations of these models in extracting semantic information and performing complex tasks.

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