From the initial experience of several large models deployed locally and free AI tools that are widely publicized, some opinions have emerged. At present, all kinds of teaching on the Internet are actually meaningless. Non-industry practitioners don't need to spend a lot of money to deploy in-depth learning on their own. It is good to simply understand and understand. The technology is still in high-speed iteration. What looks tall now will definitely rot in the street soon. AI tools will eventually be universal to everyone, and finally it is the accomplishment of people. Take Web UI and Comfy UI as a simple example. As for the two parameter selectors with different presentation methods, the purpose is to pass parameters to the front-end interface of AI, which makes it confusing. Although it contains deep technical differences, it is really unnecessary for users to understand so much.
Looking back at the past time in 0506, it was difficult to edit videos, make flash animations, make web pages, retouch pictures, install computers and change software. Now look at everything, convenient tools for you to choose from, and you can complete the requirements in a few simple steps. The current AI feels similar to that. Not everyone can go deep, but what's the point of going deep? After that, there will be simple and convenient tools.
Therefore, we always adhere to the complex demand simplification, choose AI when AI is more efficient, and do it when manual execution is more in line with expectations ~
Finally, I hope that there will be more high-precision AI tools in the future, so that people can concentrate on their accomplishments without studying the technology behind them.
