Navigating Prompt Engineering
Sara discusses the current state of prompt engineering, highlighting its exploratory nature and the need for a more scientific approach as models scale. She emphasizes the intriguing ability of language models to fill in communication gaps despite their limitations in semantics and pragmatics. The conversation also touches on the dense nature of human language and its implications for effective communication.In this clip
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Machine Learning Street Talk (MLST)
#92 - SARA HOOKER - Fairness, Interpretability, Language Models
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