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

Machine Learning Street Talk (MLST)

CHAPTER

Balancing History and Modernity in Machine Learning

This chapter explores the dual challenge of integrating historical data with current trends in machine learning, focusing on the implications of recency bias and the influence of timeless principles. It reflects on the complexities of evolving societal values in AI models and the importance of careful data representation to avoid biases from outdated perspectives.

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