// 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.
