This project uses OpenAI's GPT-3 language model to generate a research paper titled "Comprehensive Healthcare for America: Using the Insights of Behavioral Economics to Transform the U.S. Healthcare System." The paper covers various aspects of healthcare reform, including lessons from behavioral economics, proposals for system reform, and implementation strategies.

The aim of this project is to reproduce [https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10209990/] this paper and then conduct surveys where central question will be to assess whether the LLM produced paper is perceived superior to human produced research paper.

The generated research paper includes the following sections:

1. Title
2. Abstract
3. Introduction
4. Lessons of Behavioral Economics: Achieving Acceptance of CHA
5. Proposals to Reform the Healthcare System
6. The Tenets of “Comprehensive Healthcare for America”
7. Healthcare Expenditures under CHA: Potential for Increased Costs Offset by Multiple Opportunities for Savings
8. Overcoming the Political Barriers to CHA
9. The Implementation Process
10. Issues to be Addressed after Implementation
11. Conclusion
12. References

• generate_research_paper.py: Python script that uses OpenAI's GPT-3 API to generate the content for each section of the research paper.
• requirements.txt: List of required Python packages.
• Comprehensive_Healthcare_for_America.docx: The generated research paper in Microsoft Word format.
• README.md: Project documentation.

• Python 3.7+
• OpenAI API key

1. Clone the repository:

   git clone https://github.com/owgee/LLMs.git
   cd LLMs

2. Install the required packages:

   pip install -r requirements.txt

1. Set up your OpenAI API key. Replace 'your-api-key' in the script with your actual OpenAI API key.

Run the script to generate the research paper and save it as a Word document:

python generate_research_paper.py