– Large language models (LLMs) can follow natural-language-like instructions.
– Prompt programming allows users to express programming intent in plain language.
– Existing prompt editing interfaces provide basic text editing interactions.
– Prompt programming lacks a predefined grammar, making it difficult to support.
– This paper explores the challenges and opportunities of creating a dedicated LLM prompt editor.
– The paper introduces techniques for understanding and inferring the semantic structure of prompts.
– The paper presents insights from pilot tests and discusses design challenges and opportunities.
– The research identifies a new challenge in programming tool design: supporting prompt programming without a well-defined programming language.
– Provides guidance on selecting and using tools in NLP systems.
– Enhances the capacities and robustness of language models.
– Improves scalability and interpretability of NLP systems.
– Existing tools for prompt programming lack support for complex prompts.
– Methods for extracting the structure of natural language prompts.
– Range of editor features to assist prompt programmers.
– Initial feedback from domain experts on design probe explorations.
– Findd challenges and opportunities for supporting prompt programmers.
– Developed prompt editor features based on the semantic structure of prompts.
– Conducted initial pilot testing and presented key insights.
– Prompt programming lacks a predefined grammar but has inherent semantic structure.
– Described open questions, design challenges, and opportunities for future support.
– Full results of the three tasks: Trivia Creative Writing, Codenames Collaborative, and Logic Grid Puzzle can be found in Tables 5, 6, and 7, respectively.
– Tools for writing prompts for language models are not very helpful.
– Prompts are used to solve complex problems without a strict grammar.
– Methods for extracting the structure of natural language prompts are described.
– Editor features can assist prompt programmers in understanding and editing prompts.
– Initial feedback from domain experts is used to guide the development of prompt editors.