Prompt Engineering

Prompt Engineering

• Experimenting with LLMs to Research, Reflect, and Plan
• Prompt Engineering Guide | Prompt Engineering Guide
• dair-ai/Prompt-Engineering-Guide: 🐙 Guides, papers, lecture, notebooks and resources for prompt engineering
• Welcome | Learn Prompting: Your Guide to Communicating with AI
• Prompt Engineering | Lil'Log
• brexhq/prompt-engineering: Tips and tricks for working with Large Language Models like OpenAI's GPT-4.
• Maximizing the Potential of LLMs: A Guide to Prompt Engineering
  • Text Summarization
• GPT best practices - OpenAI API
  • Strategy: Write clear instructions
    • Include details in your query to get more relevant answers
    • Ask the model to adopt a persona
    • Use delimiters to clearly indicate distinct parts of the input
    • Specify the steps required to complete a task
    • Provide examples
    • Specify the desired length of the output
  • Strategy: Provide reference text
    • Instruct the model to answer using a reference text
    • Instruct the model to answer with citations from a reference text
  • Strategy: Split complex tasks into simpler subtasks
    • Use intent classification to identify the most relevant instructions for a user query
• Strategy: Give GPTs time to "think"
  • Instruct the model to work out its own solution before rushing to a conclusion
  • Ask the model if it missed anything on previous passes

References