It's a sheep after all

We escaped the first wave of sheep released last year, but we still did not escape the second wave of sheep. This time, we all said that we were trying to find and fill the missing people in the first wave. Indeed, the only few remaining sheep in the first wave of our company were sheep this time, with mild and severe symptoms. A colleague felt weak after work last Tuesday, and went back for a test.

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The gradle and maven project configuration jar outputs the specified location

Normally, when our project is deploying CICD through Gitlab, the O&M will uniformly let us rename the compiled jar package file of java to be deployed and copy it to deploy/app.jar under the project root directory, and then uniformly reference a build script. At present, our project team has both gradeand maven projects, Basically, the plug-in is used to copy and rename to the specified location. Of course, gradle can simply copy by writing a script directly. Here are some configuration references, just for notes.

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All kinds of free GPT available address sharing (continuously updated)

This article is mainly about sharing all kinds of free GPT image sites available at home and abroad, aiming to lower the threshold of Xiaobai's use. All addresses are shared on the Internet. Please do not use them for any business activities, do not guarantee privacy and security, and do not ask questions about important information about the company and learning. Since such websites are also heavily blocked in China, this article will continue to be updated. You are welcome to subscribe. If you have a good site to share with everyone, please leave a message in the comment area. For long-term use, it is recommended to build your own scheme.

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Chinese notes of ChatGPT Prompt Engineering for Developers, II

Project introduction The Chinese version of the course ChatGPT Prompt Engineering for Developers by Wu Enda, which mainly guides developers how to build Prompt and build new LLM based applications based on OpenAI API, including the principles of writing Prompt; Text summary (such as summarizing user comments); Text inference (such as emotion classification, topic extraction); Text conversion (such as translation and automatic error correction); Extension (such as writing email);

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Chinese notes of ChatGPT Prompt Engineering for Developers, I

Project introduction The Chinese version of the course ChatGPT Prompt Engineering for Developers by Wu Enda, which mainly guides developers how to build Prompt and build new LLM based applications based on OpenAI API, including the principles of writing Prompt; Text summary (such as summarizing user comments); Text inference (such as emotion classification, topic extraction); Text conversion (such as translation and automatic error correction); Extension (such as writing email);

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Design for change

Yesterday, I heard the senior system architect training organized by the company about using risk analysis to drive architecture design, and embracing change to design. I felt deeply. From the perspective of development, every developer hopes that Party A's needs will not change at any time, especially major changes, because the cost is really high. But the reality is that with the development of society and the online use of the system, it is necessary to always do a good job of feedback from the market and society, otherwise the software will only be eliminated. Therefore, in the development process, it is necessary to repeatedly confirm the needs, take into account the possible changes in the future, and minimize the risk in the development process.

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