Chain of Density Prompting

// Summarized with Google Gemini

Chain of Density Prompting

  • This technique involves refining summaries through multiple iterations, starting from a broad output and gradually making it more concise.
  • It is similar to crafting an elevator pitch, where the initial draft is lengthy, but through refinement, it becomes shorter and more impactful.

Iterative Refinement Process

  • By prompting the AI to provide shorter summaries, you can focus on the most important trends or points.
  • This process helps identify and eliminate unnecessary details while ensuring essential information remains intact.

Adjusting Summary Length

  • Chain of density prompting can also be used to expand summaries if the output is too brief, allowing for more detail as needed.
  • This iterative approach helps in generating useful summaries quickly, making it easier to manage lengthy documents.