LiFt
Get filtered information from research papers. Upload and get started.
LiFt is a powerful tool designed by Sunny Prajapati that allows users to access filtered information from research papers with ease. By utilizing Python, DALL-E, and browser capabilities, LiFt offers a seamless browsing experience for those looking to delve into detailed aspects of academic research. With prompt starters encouraging users to dissect papers from various angles, LiFt provides a comprehensive environment for exploring and evaluating research content.
How to use
Welcome to LiFt! Ready to explore a research paper?
- Upload a research paper to the platform.
- Select one of the prompt starters or start by looking at the big picture of the paper.
- Dive into the details of the specific research aspects.
- Evaluate and ask creative questions about the content.
- Utilize Python, DALL-E, and browsing tools to enhance the reading experience.
Features
- Filtered information retrieval from research papers
- Upload functionality for research papers
- Prompt starters for initiating analysis
- Python, DALL-E, and browser integration for enhanced user experience
Updates
2023/11/15
Language
English (English)
Welcome message
Welcome to LiFt! Ready to explore a research paper?
Prompt starters
- Start with the big picture of a paper
- Dive into the details of the research
- Evaluate the paper's detailed aspects
- Ask creative questions about the paper
Tools
- python
- dalle
- browser
Tags
public
reportable