Project Title

gpt_academic — Optimized Interaction Interface for Large Language Models with Academic Focus

Overview

gpt_academic is an open-source project designed to provide a practical interaction interface for large language models (LLMs) like GPT and GLM, with a special focus on enhancing the experience of academic paper reading, editing, and writing. It features a modular design, allowing for custom quick buttons and function plugins, and supports Python and C++ project analysis and self-translation. The project also includes PDF/LaTeX paper translation and summarization capabilities and supports parallel inquiries across multiple LLM models, including local models like chatglm3.

Key Features

Customizable quick buttons and function plugins for tailored user experiences.
Support for Python and C++ project analysis and self-translation.
PDF/LaTeX paper translation and summarization for academic research.
Parallel inquiry support for multiple LLM models, enhancing versatility.
Integration with various local and online LLM models, including chatglm3.

Use Cases

Researchers and academics using gpt_academic to streamline their paper reading and writing processes.
Developers leveraging the project's modular design to create custom plugins for specific tasks.
Educational institutions utilizing the tool for teaching and research purposes, enhancing student engagement with academic materials.

Advantages

Modular design allows for easy customization and extension of functionality.
Supports a wide range of LLM models, both local and online, providing flexibility.
Enhances academic productivity by streamlining paper-related tasks.
Open-source nature encourages community contributions and improvements.

Limitations / Considerations

The project's effectiveness may depend on the availability and performance of the integrated LLM models.
Customization requires some technical knowledge, which might be a barrier for non-technical users.
The project's reliance on external LLM models means it may be subject to changes in those services' APIs or availability.

LangChain: A framework for building applications with LLMs, focusing on modularity and composability. It differs from gpt_academic in its broader scope beyond academic use.
Papers with Code: A resource for the latest AI research papers and their implementations. It complements gpt_academic by providing a repository of academic papers and code.
Hugging Face Transformers: A library of pre-trained models for natural language processing. It differs from gpt_academic in its focus on providing a wide range of models rather than an interface optimized for academic tasks.

Basic Information

GitHub: https://github.com/binary-husky/gpt_academic
Stars: 69,196
License: Unknown
Last Commit: 2025-09-04

📊 Project Information

Project Name: gpt_academic
GitHub URL: https://github.com/binary-husky/gpt_academic
Programming Language: Python
⭐ Stars: 69,196
🍴 Forks: 8,372
📅 Created: 2023-03-20
🔄 Last Updated: 2025-09-04

🏷️ Project Topics

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📚 Documentation

🎥 Video Tutorials

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gpt_academic

Project Description