1. Do you usually use such AI tools? What are your thoughts on this type of tool?
1) Will you often use AI tools?
Yes, I often use AI tools in my life and work, especially chatGPT (3.5) and Wenxin Yiyan. Regarding midjourny, I really want to try it, but I haven’t found a suitable interface yet hhh
2) Views on such tools
Because I usually use it more in work and study, let me talk about my experience in this aspect. First of all, it is true that it is easy to use, why do you say it is easy to use? Let me give you an example. There is a query question about sql database, which may involve the connection query or screening of multiple tables. If AI is not so capable, I can only search for relevant examples on the Internet or read books to find me. The statement above can be used. Of course, everyone knows that sometimes it is difficult to find exactly the same example on the Internet for a topic, so you still need to slowly stitch together the knowledge points yourself. But in recent years after the development of chatGPT, I only need to tell AI my needs, and in less than 30 seconds, I can get a sql statement that is specially suitable for my example, I just need to adjust it according to the details . The following is an example of a screenshot when I use Wenxinyiyan and chatGPT3.5 (just a simple example).
chatGPT3.5：
Of course, the efficiency of Wenxinyiyan and chatGPT is different under different types of problems. In my use, if it is a code-related problem, I think the accuracy rate of chatGPT and its understanding of the problem are far away. It is better than Wenxin Yiyan; but if it is a text-based problem, for example, I want to generate a "software description document content", then Wenxin Yiyan will be more efficient than chatGPT, because Wenxin Yiyan is aimed at Chinese A model of Chinese character language.
2. You can spend a few minutes to experience the InsCode AI creation assistant, and talk about your experience and optimization suggestions.
I just tried the InsCode AI creation assistant, I asked it two questions about the future development of programmers, and it answered this way:
1) With the current rapid development of AI, do you think AI prompt word engineer will be an emerging profession in the future?
Answer: As an AI language model, I think AI prompt word engineer is a very important profession in the future. In large-scale natural language processing and machine learning projects, AI prompt word engineers can help developers better understand training data, ensure model correctness and reliability, and optimize algorithm and model performance. Through such work, AI prompt word engineers can help enterprises and organizations make better use of artificial intelligence technology, solve complex problems and achieve higher benefits.
2) With the rapid development of AI, what direction would you recommend for those who are currently engaged in programming to develop in the future?
Answer: The development of AI in the future will involve many fields, such as natural language processing, machine learning, deep learning, computer vision, etc. Therefore, I would recommend programmers to learn the following skills and tools:
1. Machine Learning and Deep Learning: These fields are booming and will revolutionize many industries. It is very important to understand these techniques and learn how to apply them.
2. Data Science and Data Analysis: Data is an important part of AI. Learning how to manage, analyze and interpret data is key to doing a good job with AI.
3. Natural language processing: With the development of artificial intelligence technology, natural language processing is becoming more and more important in many industries. For those familiar with natural language processing, there will be many interesting and unique career opportunities.
4. Software engineering and development: AI needs software to function. Knowing how to write high-quality code, how to design a good software system, and how to conduct software testing are essential skills.
Overall, anyone who wants to make a career in AI will need a solid understanding of these techniques and tools, as well as some background in computer science and mathematics.
Regarding the second question, let’s take a look at how Wenxin Yiyan and chatGPT answered:
In a word:
chatGPT：
3. What details and skills do you think should be paid attention to when using such AI tools to effectively improve productivity?
I think you need to be careful with your expressions when using such tools .
Because different expressions will get completely different results.
AI prompt engineer may really be the development trend of future work, because as long as you can clearly express what you want, you can get a corresponding result. The more refined the expression, the more accurate your result will be. You want.
4. What are the development trends and possible impacts of AI writing assistants in the future?
1) Development trend: You don’t have to think about it, it will be exponential growth, because you can only discover its efficiency after you actually use this tool
2) Influence: I think this influence can be divided into positive and negative aspects.
① Positive impact must be able to improve work efficiency and quality of life, because it saves too much time;
②But there are also many negative effects: it will make people very dependent. If you leave this system, you may not know anything, just like most people use calculators now, and the use of mental arithmetic is gradually decreasing; It also limits the creativity of many people.
[This content refers to AI writing assistant]