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HomeTechnology peripheralsAIChatALL developed by a former Harbin Institute of Technology professor has become popular! You can ask questions on 17 chat models at the same time, ChatGPT/Bing/Bard/Wenxin/iFlytek are all OK

Are you still "jumping" between several large chat models today?

After all, each company’s training data and methods are different, and what they are good at and what they are not good at are also different.

Now, no need to go to such trouble.

Someone has developed an application called "ChatALL" , which can send your questions to more than 10 common chatbots on the market at the same time , such as ChatGPT , GPT4, Bing, Bard, Claude, Wen Xinyiyan, iFlytek Spark, etc., and display them one by one.

ChatALL developed by a former Harbin Institute of Technology professor has become popular! You can ask questions on 17 chat models at the same time, ChatGPT/Bing/Bard/Wenxin/iFlytek are all OK

From this, you can easily compare the one with the best answer and then adopt it.

It’s so convenient, isn’t it?

No, the project is very popular. It has topped the GitHub hot list today and received 1.6k stars.

ChatALL developed by a former Harbin Institute of Technology professor has become popular! You can ask questions on 17 chat models at the same time, ChatGPT/Bing/Bard/Wenxin/iFlytek are all OK

Let’s take a look.

"ChatALL" that can communicate with 10 chat robots "Qi Dao" at a time

The Chinese name of "ChatALL" is "Qi Dao".

ChatALL developed by a former Harbin Institute of Technology professor has become popular! You can ask questions on 17 chat models at the same time, ChatGPT/Bing/Bard/Wenxin/iFlytek are all OK

It is an application that supports three languages: Chinese, English and German.

Just download the installation package to use it, Mac, Windows and Linux are all supported.

Its functions include:

  • Quick question mode: You can send the next command without waiting for the previous request to be completed
  • The conversation history is saved locally and protected Your privacy
  • Highlight the answers you like and delete the answers you don’t need
  • Automatically keep ChatGPT offline
  • Enable/disable any bot at any time
  • Switch between one, two or three column views
  • ...

Also be able to recommend the best answers in the future.

The list of currently supported AI chatbots is as follows:

ChatALL developed by a former Harbin Institute of Technology professor has become popular! You can ask questions on 17 chat models at the same time, ChatGPT/Bing/Bard/Wenxin/iFlytek are all OK

Among them, a local Gradio is included, which can be connected Model that you deploy yourself.

In the application interface, a total of 17 icons are displayed, proving that it can currently support up to 17 types of chat robots.

ChatALL developed by a former Harbin Institute of Technology professor has become popular! You can ask questions on 17 chat models at the same time, ChatGPT/Bing/Bard/Wenxin/iFlytek are all OK

It should be noted that this is just a program that centralizes all chat AI, not an agent, so each one requires you to log in Your own account , of course, API token can also be used.

After logging in, if you want to ask which robots you want to ask at once, just light up the corresponding icon and you can start playing.

Qubit briefly tried it:

ChatALL developed by a former Harbin Institute of Technology professor has become popular! You can ask questions on 17 chat models at the same time, ChatGPT/Bing/Bard/Wenxin/iFlytek are all OK

#The overall response is pretty fast, but the last robot ChatGLM needs to wait a little longer for the previous ones. ChatGPT and Claude started to answer after they came out.

The layout does allow us to clearly compare the subtle differences between the answers and quickly select the best answer, which is very suitable for model evaluation tools.

(For this question, ChatGPT is the best, because it only mentions points that neither of the other two mentioned: "This book involves some more complex concepts and theories, so readers should have A certain ability to read and understand scientific works", this is a very practical suggestion.)

Most of the code is contributed by GPT-4

The main author of ChatALL is named Sun Zhigang , he is a partner of Kaikeba. He graduated from Harbin Institute of Technology majoring in computer science and was an associate professor at the School of Computer Science at the school.

According to his own introduction:

Most of ChatALL’s codes are actually generated using GPT-4.

Early submission records, any "by GPT-4" means that the submitted code is written by GPT-4; any "with GPT-4" means that GPT-4 wrote the core, I did Made some processing modifications.

In addition to the code, the logo and main color were also designed with the help of AI.

During the entire development process, ChatGPT, Bing and Google also helped him a lot(ranked in order).

In addition, regarding the engine, he said that because:

(1) The output of the large model is based on probability, and the same question will result in different results if asked twice

(2) Large models have blind spots. GPT-4, who was born in San Francisco, is not as good as ChatGLM who grew up in Wudaokou and knows "what delicious food is near Tsinghua University"

(3) And large models are prone to making factual errors

As a result, he usually encounters problems and often asks multiple models at the same time to ensure that he finds the most reliable answer.

That’s why there is ChatALL.

However, ChatALL is inspired by ChatHub.

Perhaps some people are not unfamiliar with the latter. It is a plug-in for Google and Edge browsers, and it is also the main "all in" entrance for all chatbots.

But in comparison, ChatALL still supports more models.

ChatALL developed by a former Harbin Institute of Technology professor has become popular! You can ask questions on 17 chat models at the same time, ChatGPT/Bing/Bard/Wenxin/iFlytek are all OK

Then, various friendship links are placed below, and interested friends can pick them up~

ChatALL portal: https://github.com/sunner/ChatALL

##Installation package download Address: https://github.com/sunner/ChatALL/releases

ChatHub portal: https://chathub.gg/

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