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How to apply large language models such as ChatGpt in agriculture (including operations)

author:AI and digital agriculture

When it comes to the new generation of AI technologies such as ChatGpt and Wen Xin, those who do agriculture always feel unimpressed, thinking that the application of these technologies in agriculture is still far from themselves, of course, there are other people who do not know how to apply them in agriculture.

The author is very fortunate to meet Huake, who is more powerful in AI in China, and is also learning with him to discuss how AI can change or empower our agricultural industry. Next, the ZelinAI platform made by the junior brother will demonstrate how to make a more pragmatic AI application for people who do agriculture.

How to apply large language models such as ChatGpt in agriculture (including operations)

(ZelinAI's back-end interface)

According to the author's personal painful experience, in agricultural enterprises, it is often encountered that front-end farmers do not know how to use our products, and finally the manufacturer is forced by the distributor to send people to drive hundreds of kilometers to rush over, and the result is a very small problem, time-consuming, laborious, costly, and not good, and the employees are also very dissatisfied. Is there a way to make an intelligent product after-sales AI that quickly responds to the needs of users to solve this old and difficult problem.

How to apply large language models such as ChatGpt in agriculture (including operations)

(The figure above is the model test established by the author, and the user can automatically give a reply as long as he selects the product)

As can be seen from the above figure, the background setting function is relatively powerful, the author used Prompt to make a simple prompt, the user can easily directly select the corresponding product robot can automatically give a reply, and the content of the reply can be trained through the background.

How to apply large language models such as ChatGpt in agriculture (including operations)

(The author uploads the instructions for use of the product to automatically learn)

In the training module, the company's product information can be uploaded, and the machine can automatically learn the content and provide more accurate and professional answers according to the questions raised by users.

How to apply large language models such as ChatGpt in agriculture (including operations)

(The author will build a model to generate applications in different formats)

After the established model is trained, applications of different formats can be generated, and enterprises can access the application to the WeChat group, or do the secondary development of the interface and implant it into their own APP, official account, etc.

How to apply large language models such as ChatGpt in agriculture (including operations)

(The author got a junior engineer after 10 days of study)

brief summary

With the rapid change of technology, agricultural people should also actively embrace technological change, use a new generation of technology to establish their own competitive barriers, but also facilitate the attraction of young talents, improve their service capabilities, and consolidate the brand of enterprises.

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