promptr: Format and Complete Few-Shot LLM Prompts

Joe Ornstein

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Computational and Text Analysis Methods Topic Modeling Domain Adaptation and Few-Shot Learning

Abstract

Format and submit few-shot prompts to OpenAI's Large Language Models (LLMs). Designed to be particularly useful for text classification problems in the social sciences. Methods are described in Ornstein, Blasingame, and Truscott (2024) <https://joeornstein.github.io/publications/ornstein-blasingame-truscott.pdf>.

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2013Text as Data: The Promise and Pitfalls of Automatic Content Analysis Methods for Political Texts 2004The wisdom of crowds: why the many are smarter than the few and how collective wisdom shapes business, economies, societies and nations 2017Semantics derived automatically from language corpora contain human-like biases 2021On the Opportunities and Risks of Foundation Models 2022TruthfulQA: Measuring How Models Mimic Human Falsehoods 1957Studies in linguistic analysis 2011Scaling Policy Preferences from Coded Political Texts 2019Local News and National Politics

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