Summary of articles by density chain
This prompt is structured to provide an effective methodology in generating progressively more detailed and specific summaries, focused on key entities.
This GPT model, developed by Rodolfo Arce, provides an effective methodology for generating progressively more detailed and specific summaries with a focus on key entities. It utilizes Python, DALL·E, and browser-based tools to enhance productivity and accuracy. With its ability to identify missing key entities and improve summary density, this GPT is a valuable asset for various fields including SEO, content creation, and research.
How to use
To use this GPT model, follow these steps:
- Access the GPT model through the provided Python code.
- Provide the input article you want to summarize.
- Follow the prompts to identify any missing key entities in the summary.
- Apply techniques to make the summary more dense and specific.
- Leverage the GPT model's capabilities to generate a refined summary.
Features
- Effective methodology for generating detailed and specific summaries
- Identification of missing key entities in the summary
- Techniques to enhance summary density and specificity
- Support for various tools such as Python, DALL·E, and browser-based tools
- Suitable for SEO, content creation, and research purposes
Updates
2023/11/30
Language
English (English)
Prompt starters
- Please send me the article you want to summarize.
- Let's identify the key entities missing from your summary.
- Let's see how we can make this summary more dense and specific.
Tools
- python
- dalle
- browser
Tags
public
reportable