How can ordinary people seize the opportunity of AI?

On November 30, 2022, OpenAI released an AI conversation product chatGPT. In just two months, the number of registered users exceeded 100 million, making it the fastest-growing application in human history. Subsequently, major global technology companies such as Google, Baidu, and Alibaba also released or previewed their own AI models. AI technology is developing rapidly, and the AI ??era has quietly arrived~

Now, most people are aware of the birth of AI, but most people are not prepared and can only communicate and chat. , Therefore, there are indeed very few people who truly embrace AI or seize the opportunity. It can also be said that it is too difficult for most ordinary people to seize the opportunity of this trend. Let’s see what netizens say:

However, the current situation is that if you don’t learn, you won’t be able to do it, otherwise it won’t be long. will be eliminated in the future. Without further ado, on today’s topic, let’s talk about what ordinary people should do if they want to seize the opportunity in the AI ??wave; why ordinary people should learn AI:

Start with Starting from the basics, ordinary people need to first understand the fields involved in AI, which includes mathematics, computers, physics, psychology, philosophy and other aspects. You can learn relevant basic knowledge through various channels, such as taking online or offline AI courses, reading relevant books, joining online courses, videos, etc.

By learning the basic knowledge of AI, we can better understand the principles and applications of AI, and better grasp the development trends and business opportunities of AI. Therefore, as ordinary people, they need to master the basic concepts, principles, methods and applications of AI, as well as related programming languages ??and tools. AI involves a wide range of technical fields, and you can also conduct in-depth research on these fields and become proficient in the corresponding technologies. This is a prerequisite for learning AI. These skills are very popular in today's market. Only those who master these skills can better seize the opportunity of AI.

You should also pay attention to the latest developments in AI. As ordinary people, everyone can learn more about AI by understanding the cutting-edge technology and application fields of AI. The ways to learn about it include: media, platforms, forums and other channels. You can also pay attention to some well-known AI companies and institutions. These are all good ways.

After we have basic knowledge, mastered relevant skills, and paid attention to relevant trends, you can try to participate in AI-related projects, such as joining an AI startup company, etc. By participating in these projects, you can accumulate more experience and skills to improve your professional level in AI.

Because if you want to enter the AI ??industry and seize the spotlight, you need to have relevant skills and experience. However, you do not necessarily need to master all the skills. You can find a path that suits you, find some AI projects that suit your level and interests, and implement operations through programming, debugging, testing, etc., or you can practice through some online platforms or tools. After entering the industry, you need to use your network resources to make friends with people in the AI ??industry, exchange more experiences and ideas with them, and then obtain more valuable suggestions.

Finally, you can try to create your own AI products or services. For example, you can develop an AI voice assistant, an AI smart home product, an AI medical product, etc. It will also make you more confident.

For example:

Developing robot customer service: AI technology can be used to develop an intelligent customer service chat robot to automatically answer users' questions. Then, we cooperate with a number of companies to provide intelligent customer service services for them and charge a certain consulting fee. Such robot customer service can serve multiple industries such as e-commerce platforms and online education.

To be honest~ It is easy to say it, but it is really difficult to do it. In terms of basic knowledge, it takes more than a year for ordinary people to get started. Therefore, during the entire learning process, you need to have enough enthusiasm, enough courage and interest, and enough ability as backing, so that you can enter the AI ??industry and have a chance to catch the wind.

Yes, sometimes we need to force ourselves, because artificial intelligence has become an inevitable trend in today's development. As long as we master the relevant technology, we can better use the tools to improve our strength. Realize value, and many companies in our country are currently trying to use AI technology. Therefore, if you want to seize the opportunity, the most important thing is to rely on your own continuous efforts and hard work.

As the famous economist Dr. Ren Zeping mentioned:

“China’s economy depends on technology, and China’s technology depends on AI.” This is what the famous economist Dr. Ren Zeping said at the 2022 Vientiane·Baidu The conclusion was made in a speech titled "AI Acceleration of China's Economy" at the Mobile Ecology Conference.

Dr. Ren Zeping shared in his speech the important role of new infrastructure in China’s new economic engine. He predicted that in the era of new infrastructure 2.0, AI technology will be the most advantageous starting point for realizing the "use" of new infrastructure. He suggested that enterprises and individuals should fully grasp the dividends of the era brought by AI technology, and predicted that Baidu APP will become available to everyone. The new AI infrastructure will stimulate greater creativity among the people through the model of "Baidu sets the stage and everyone sings".

Ren Zeping mentioned in his speech that if we can’t grasp the trend of AI now, just like we couldn’t grasp the trend of the Internet 20 years ago, there will be no way out.

Therefore, even if you are an ordinary person, if you want to adapt to the trend and keep up with the pace of social development, you must learn AI. No matter how many years it takes, no matter how difficult the journey is, you must continue to learn, otherwise you will be eliminated. .

Although everyone is saying that 2023 will be the year of economic recession, don’t forget that in every recession, new industries will emerge. Therefore, artificial intelligence is the next revolutionary trend, and some companies have begun to lay off employees. I think this is not a coincidence, nor is it alarmist.

According to relevant information, last year, major technology companies in the United States laid off about 150,000 people throughout the year, but in the first month of this year, more than 60,000 people were laid off. Bank of America warned that it expects the U.S. economy to lose an average of 175,000 jobs each month starting in the first quarter of 2023.

So, don’t believe it, now, artificial intelligence has penetrated into all walks of life. For example, in the medical field, AI technology is used to help doctors make diagnoses. In the financial field, AI technology is used to predict market trends, and the retail industry can also use AI technology to optimize sales strategies. These application scenarios are the development direction of AI technology.

In other words, in the future, the application scenarios of artificial intelligence will be more extensive. After seeing this, do you still want to say, I won’t learn? !

Having said so much, let’s talk in detail about the basic knowledge points that ordinary people need to master to learn AI:

There are many basic knowledges to learn, and AI development involves Python programming knowledge. , Linux knowledge, in terms of vision, you need to learn image processing, OpenCV, etc., and you also need to have a certain mathematical foundation.

Specific include:

1. Basic mathematical knowledge: linear algebra, probability theory, statistics, graph theory;

2. Basic computer knowledge: operating system , linux, network, compilation principles, data structures, databases;

3. Programming language basics: C/C, Python, Java;

4. Basic knowledge of artificial intelligence: ID3, C4.5. The characteristics and properties of logistic regression, SVM, classifier and other algorithms, and the differences in comparison with other algorithms;

5. Basic knowledge of tools: opencv, matlab, caffe, etc.

In short, I would say that if you want to catch up with this wave, you must be prepared to face the challenge, because artificial intelligence will become more and more complex and develop very quickly. Therefore, you still have to be fully mentally prepared, go for it~