The editor and ChatGPT talked about intelligent operation and maintenance. Let's see if we can replace the experts?

Recently, the chatbot ChatGPT has exploded in popularity. In just 2 months since its launch, its monthly active users have exceeded 100 million, making it the fastest-growing consumer in history. app. Even Musk, who has always been high-profile, called ChatGPT "so good that it's scary" and even asserted: "We are not far from AI that is dangerously powerful."

Different from traditional search engines, ChatGPT is trained based on large amounts of data and can learn and understand human language and interact with it Communicate, organize and optimize the answers and present them to users in the form of dialogue. You can even turn into a programmer to type code and check program errors... To this end, the editor also asked ChatGPT some questions about intelligent operation and maintenance. Let's take a look. How did TA answer:

## Editor First, I asked some conceptual questions related to intelligent operation and maintenance. I have to say that chatGPT is extremely efficient in replacing traditional search tools to find information, and can greatly save time in data integration.

#Like all big data models, ChatGPT has also gone through the process of "pre-training and fine-tuning". After multiple rounds of dialogue and questioning, ChatGPT has undergone

semantic analysis will give a more detailed explanation and give you the results you want more.

# However, when faced with some complex questions or more exploratory questions, ChatGPT’s answers are relatively unsatisfactory and satisfactory.

#As for some issues of trend judgment, ChatGPT is even more vague. To put it bluntly, ChatGPT is not real intelligence. It is the product of "algorithm capital computing power data training

", and its cognitive level is still endowed by the current human civilization and development process.

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#There is no doubt that the current ChatGPT is still not perfect. . As OpenAI CEO Sam Altman said: "It would be a mistake to rely on it for anything important right now. We still have a lot of work to do in terms of robustness and authenticity." Do".

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