AI is more than a story

Machine translation; not fully reviewed and may contain errors. Read the Chinese original

After learning a lesson, the last step is to do it as quickly as possible. This has led to substantive changes in their own concept sheets, relationship tables and flowsheets, so that the meaning of learning can be truly realized.

Maybe it’s an environmental effect! In our community, a whole bunch of people are learning to practice and use. A slight disregard for the content of the course will quickly open a wide gap between the students. Nor is such a state of affairs an example of alarm, as it happens almost every other time. In contrast to the role models themselves, it is inevitable that there will be some resentment and remorse. As a result, in a small environment in which alarms ring from time to time, each day they are forced to learn and grow. It is not simply a question of learning to be good, but of beginning to be indifferent from the heart. The time of the AI, it’s more important to catch up.

In the last three weeks, the community’s main melody has basically been the practice and application of AI. To keep up with this wave, I’m almost AII in it. For things you don’t understand, use state-of-the-art AI to help solve them. For serious research work, myself joined AI into their own stream of work. The choice of a profession and the additions to it are also promoted in close cooperation with AI. Of course, in addition to these parts, there are too many and too many parts that need AI, and this is a question that arises: how do we define the boundaries of the correct use of AI? It seems that the problem is simple, but at the same time it is difficult to come up with a number of levels. Because you can ask AI to find the answer, but it’s a harder thing to ask than that.

I didn’t find the answer until today when I heard the teacher’s latest share and practice.

With AI ’ s help, the problem of duplication was solved, and even with AI ’ s help, its search borders were extended considerably. “Sensitization” has unwittingly led to a number of previously unawaken concepts and classifications. It is also within this framework of thinking that it slowly regains its ownership and confidence in its interaction with AI. It’s really important and I’m encouraged!

AI is good at comparing with the ability human beings should retain.

AI workflow from definition of target to sediment template

From question-and-answer to automated AI five stages of maturity

AI’s search for opportunities in the era is now taking place again to find that it is still closely related to its own thinking.

FOLLOW MANTOU

Follow mantou