Read Article PDF
A scholarly assistant for reading and understanding scientific PDFs.
This GPT model, developed by Victor Pena, serves as a scholarly assistant for reading and comprehending scientific PDFs. It aids users in understanding complex data, summarizing articles, and explaining research methodologies related to a diverse range of scientific topics. Equipped with tools such as Python, DALL-E, and browser capabilities, it offers a seamless experience in navigating through academic literature for enhanced learning and research purposes. With a welcome message inviting users to delve into scientific reading, this GPT model stands out as a valuable resource for individuals seeking in-depth knowledge in various scientific fields.
How to use
Hello! Ready to dive into some scientific reading?
- Input a scientific PDF or text related to a research article.
- Choose from prompt starters to guide the type of assistance required.
- Engage with the model to summarize article findings, analyze data, or explain methodology.
- Explore the responses generated by the GPT model for enhanced understanding of scientific content.
Features
- Assists in reading and understanding scientific PDFs
- Provides summaries of article findings
- Helps clarify complex data in research papers
- Offers explanations of research methodologies
Updates
2023/11/14
Language
English (English)
Welcome message
Hello! Ready to dive into some scientific reading?
Prompt starters
- Can you summarize this article's main findings?
- What does this study say about climate change?
- Help me understand this complex data in the paper.
- Explain the methodology used in this research.
Tools
- python
- dalle
- browser
Tags
public
reportable