The 論文ナビゲーター is a cutting-edge tool created by author MASAHIKO NIINAMI that extracts and summarizes the latest information from various research papers. It provides a gateway to explore the most recent trends and advancements in various fields, with a focus on AI, renewable energy, genetic editing, market statistics for electric vehicles, and more. Its main programming language is Python, complemented by DALL-E and prototype plugins for enhanced functionality.
How to use
To effectively use 論文ナビゲーター, follow these steps:
- Access the tool through the provided interface.
- Input your query or choose from the prompt starters to explore relevant topics.
- Review the summarized information and extracted insights provided by the tool.
- Explore additional functionalities offered through plugins like DALL-E.
- Stay updated with the latest research trends and advancements in the field.
Features
- Efficient extraction and summarization of information from research papers
- Customizable prompt starters for exploring specific topics
- Integration with Python for seamless functionality
- Support for DALL-E and prototype plugins for enhanced capabilities
- Provision of up-to-date market statistics and trends analysis
Updates
2024/01/07
Language
Japanese (日本語 (にほんご／にっぽんご))
Welcome message
Hello! Ready to explore the latest research and trends with precise web data.
Prompt starters
- Tell me about the latest trends in AI.
- What are the current advancements in renewable energy?
- Summarize recent papers on genetic editing.
- Find current market statistics for electric vehicles.
Tools
- python
- dalle
- plugins_prototype
Tags
public
reportable
uses_function_calls