About ChatGPT, see what biomedical experts say (1)

 

​ChatGPT is a natural language processing tool driven by artificial intelligence technology. It can conduct conversations by understanding and learning human language, and can also interact according to the context of the chat. It can really chat and communicate like a human being, and can even complete emails and videos. Scripting, copywriting, translation, coding, writing papers and other tasks. 

At the end of November 2022, the artificial intelligence chatbot ChatGPT was launched and quickly became popular on social media. In just 5 days, the number of registered users exceeded 1 million.

By the end of January 2023, ChatGPT's monthly active users have exceeded 100 million, making it the fastest-growing consumer application in history.

With the growing popularity of ChatGPT, all walks of life have attracted widespread attention. So in the field of biomedicine, how do experts interpret it? After listening to an open mic on the theme of "ChatGPT×Biomedicine", Xiao Wang, who was doing the experiment, gained some expert opinions. Below we will divide it into four issues and share it with you on related issues:

(1) ChatGP T has developed from the most basic AI robot at the beginning to the fourth-generation all-rounder, what do biomedical experts think?

1. Teacher Wang from the Greater Bay Area Digital Research Institute

ChatGPT4 brings new and additional possibilities. From the output of text and graphics, it shows the ability of modal fusion, which is helpful to the calculation of biomolecules; but the technology is not very mature at present. The main difference in the field of artificial intelligence is: it is difficult to obtain verification, whether the result is valid, and the feedback will be relatively slow. The built-in artificial intelligence feedback system needs to be further optimized.

2. Mr. Zhang, Baidu’s biological expert

ChatGPT is mature in some fields, but immature in some professional fields. For example: Can it design an expressible parameter, whether many parameters have thermal stability and affinity? In the field of biomedicine, it is a very long process from research and development to clinical practice, and AI has a lot of room for improvement. The amount of data on the Internet is very large, and some creatures can only return hundreds to thousands of data after a month; whether AI can choose some paths to obtain cheap and efficient data and feed it back to uninvolved nodes.

3. Mr. Xie, Peking University Smart Medicine Platform

AI pharmaceuticals have developed rapidly in recent years, and the field of protein molecules can experience the high-efficiency effects of AI; research and development under the guidance of AI has improved the quality and efficiency. Simply put, "small factories can achieve the effects of large factories." With the help and guidance of ChatGPT, one person can be used as 50 people. However, the model of AI pharmaceuticals is not a general model, but a relatively professional model. In the future, the language-driven model needs to be integrated with the professional model. There are still many points that need to be broken through. The field of biomedicine actually reflects the development of the entire AI system, and AI pharmaceuticals have already entered the stage of harvesting fruits. Now ChatGPT can be used in many industries and fields, and it will benefit the public more.

4. Director Chen, Deputy Director of Zhejiang Laboratory

The idea of ​​ChatGPT can be used for reference in drug design, target discovery, medicine and health and other fields. Many experts around me still do not believe in it. AI still has a long way to go. Molecules generated by AI are likely to fail in vitro experiments, and the subsequent costs are very high. In terms of biomedicine, ChatGPT may face greater barriers.

The above are the views of four biomedical experts on ChatGPT. Xiao Wang, who was doing the experiment, was very touched. If you have your own views, you can discuss with Xiao Wang~

(Quiet Mimi said, if Xiao Wang’s records and understanding are wrong, professionals are welcome to criticize and correct)

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Origin blog.csdn.net/m0_75273470/article/details/129794464