ChatGPT for academic and scientific research has arrived. It just opened up at the weekend, and GitHub won 3k + stars.

Recently, a developer's open source project "ChatGPT for Scientific work" on GitHub has been well received. Paper retouching, grammar checking, Chinese-English translation, code interpretation and so on.

Since the release of ChatGPT, all kinds of gods have begun to study how to add it to their "research workflow".

Tao Zhe-Xuan, a math genius, for example, says he has incorporated ChatGPT into his workflow.

Recently, a netizen also shared his "ChatGPT academic Optimization" project.

Unexpectedly, after only a few days of open source on GitHub, it hit 3.3k (still growing rapidly).

Project address: https://github.com/ binary-husky / chatgpt_academic currently, ChatGPT academic Optimization supports the following features:

In short, just give it to ChatGPT, for example, to polish and correct the paper with one click.

If the output contains a formula, the optimized version of ChatGPT will be displayed in both Tex and rendering form, making it easy to copy and read.

Is it too annoying to read the code? Why don't you just throw the whole project in and let ChatGPT do the analysis for you.

Not only that, it can also give a summary after the analysis.

In addition to the project code, Latex papers can also be read and understood with one click and generate abstracts.

In addition, the optimized version of ChatGPT supports the modular design of the project.

And, automatically generate analysis reports.

Installation and use at present, we can mainly experience the "academic version of ChatGPT" in the following two ways.

Direct operation (Windows or Linux or MacOS)

First, download the project through git.

Git clone https://github.com/binary-husky/chatgpt_academic.gitcd chatgpt_academic then, in the config.py file, configure Proxy and OpenAI API KEY.

Finally, install the dependency through pip and run the project.

The first two steps of python-m pip install-r requirements.txtpython main.py using docker (Linux) are the same as above. Download the project and configure Proxy and OpenAI API KEY first.

The next step for git clone https://github.com/binary-husky/chatgpt_academic.gitcd chatgpt_academic is to install and run it in docker.

Docker build-t gpt-academic. Docker run-- rm-it-- net=host gpt-academic Resources:

Https://github.com/binary-husky/chatgpt_academic

This article comes from the official account of Wechat: Xin Zhiyuan (ID:AI_era)