The interface includes a variety of editing and interactive functions specifically for academic research, which can improve the efficiency and quality of academic paper research, programming, and data analysis.
This includes understanding complex academic content, polishing and improving the writing quality of papers, and generating new academic text. Code explanation, program analysis, function comments, translation papers, etc…
Chinese interface, open source and free…
Key features:
- Editing, Translation, Code Interpretation: Allows users to create shortcuts to quickly access frequently used functions such as text polishing, translation, and code interpretation with one click.
- Program Profiling: Provides one-click analysis of various programming language projects, supporting the analysis and interpretation of projects written in programming languages such as Python and C++, which is very useful for software development and programming education.
- Read and translate papers: Supports one-click interpretation and translation of the full text of papers in PDF or LaTeX format and generates abstracts.
- Latex Full-Text Translation, Polishing: Provides one-click translation or polishing of latex papers.
- Batch annotation generation: Supports batch generation of function annotations with one click.
- Markdown Chinese-English translation: Supports Chinese-English translation of Markdown documents.
- Support for parallel querying of multiple LLM models: Ability to interact with multiple large language models simultaneously, such as ChatGLM, ChatGPT, etc., providing a wider range of information and analysis capabilities.
Custom Interface and Features: Users can customize the interface according to their needs, adding custom shortcut buttons and feature plugins. - Results Display Area: Displays the responses, analysis, or suggestions generated by the GPT model.
- Interaction and Feedback Mechanisms: Users may be able to interact with the generated content, providing feedback to improve the model’s accuracy and relevance.
GitHub：https://github.com/binary-husky/gpt_academic
Online experience: https://github.com/binary-husky/gpt_academic/wiki/online
If you won’t deploy, you can try the official paid version: https://auth.gpt-academic.top