ChatGPT dedicated to academic research is here! Just open sourced over the weekend, GitHub gained 3k+ stars

Recently, a developer’s open source “ChatGPT for scientific research” project on GitHub has been well received. Paper polishing, grammar checking, Chinese-English translation, code explanation, etc. can all be done with one click.

Since the release of ChatGPT, various experts have begun to study how to add it to their "scientific research workflow".

For example, "Mathematical Genius" Terence Tao said that he has incorporated ChatGPT into his workflow.

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

Unexpectedly, within a few days of open source on GitHub, it reached 3.3k stars (still growing rapidly).

Project address: https://github.com/binary-husky/chatgpt_academic

Currently, "ChatGPT Academic Optimization" can support the following functions:

In short, just leave it to ChatGPT

For example, you can complete the polishing and error correction of your paper with one click.

If the output contains formulas, the optimized version of ChatGPT will be displayed in both TEX and rendering form to facilitate copying and reading.

Are you tired of reading the code? It's better to just throw the entire 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 abstracts can be generated.

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

And automatically generate analysis reports.

Installation and use

Currently, we can mainly experience the "Academic Edition ChatGPT" in the following two ways.

Run directly (Windows or Linux or MacOS)

First, download the project through git.

git clone https://github.com/binary-husky/chatgpt_academic.git
cd chatgpt_academic

Next, in the config.py file, configure the Proxy and OpenAI API KEY.

Finally, install dependencies through pip and run the project.

python -m pip install -r requirements.txt
python main.py

Use docker (Linux)

The first two steps are the same as above, or download them first Project and configure Proxy and OpenAI API KEY.

git clone https://github.com/binary-husky/chatgpt_academic.git
cd chatgpt_academic

Next, install and run in docker.

docker build -t gpt-academic .
docker run --rm -it --net=host gpt-academic

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