Papers by Daniel Skala

1 papers
Prompterator: Iterate Efficiently towards More Effective Prompts (2023.emnlp-demo)

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Challenge: Large Language Models (LLMs) use a process known as prompting to solve arbitrary language tasks. prompting is a non-trivial task that requires experimentation in order to arrive at a prompt that solves a specific task.
Approach: They propose a tool that helps users iterate over different potential prompts and choose the best performing one based on human feedback.
Outcome: The proposed tool is open source and easily extensible.

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