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  • Discrete Prompts (Hard Prompts)

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Concept

Prompt Mining

Generally, these methods scrapes a large data corpus for strings containing xxx and yyy, and finds either the middle words or dependency paths between the inputs and outputs. Frequent middle words or dependency paths can serve as a template.

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Updated 2022-04-26

Contributors are:

Ge Zhang
Ge Zhang
🏆 1

Who are from:

University of Michigan - Ann Arbor
University of Michigan - Ann Arbor
🏆 1

References


  • Pre-train, Prompt, and Predict: A Systematic Survey of Prompting Methods in Natural Language Processing

Tags

Data Science

Related
  • Prompt Mining

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  • Prompt Paraphrasing

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  • Gradient-based search

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  • Prompt Generation

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  • Prompt Scoring

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  • Exploring and Learning Non-String Prompt Representations

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  • Continuous Prompts (Soft Prompts)

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  • Notation for Hard Prompts and Their Embeddings

  • A developer is trying to make a language model summarize articles. They provide the model with the following text input for each article: 'Summarize the following text in three sentences: [article text]'. Which of the following statements best analyzes why this input is considered a 'discrete' or 'hard' prompt?

  • Evaluating a Prompting Strategy for a Customer Service Chatbot

  • Analyzing the Transformation of a User Prompt

  • Example of a Hard Prompt

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