How to ask deepseek

The search accuracy of DeepSeek depends on the method of asking. To achieve ideal results, the question should contain the following key elements: Clear topic: Specific specified information objectives. Specific angles: Cut into the topic from a specific perspective. Expected output form: define the desired result type (summary, analysis, list, etc.).

The art of DeepSeek asks: Make your search more accurate

The power of DeepSeek is its powerful semantic understanding, but it Not magic. To get the desired results, the way of asking questions is crucial. Simply put, you need to express your needs clearly and concretely like a conversation with a knowledgeable but slightly old-fashioned friend. Don't expect it to understand your heart.

Many users think that DeepSeek is "not easy to use", but in fact, there is often a problem with the way of asking questions. For example, if you ask "write an article about cats", DeepSeek may give you a lot of encyclopedia information about cats, or links to various cats' pictures, which is not what you want. This is because your questions are too broad and lack direction. It doesn't know what type of article you want to read: is it humorous? Scientific? Or poetic?

So, a good question should contain the following key elements:

• Clear topic: What do you want to know? The more specific the better. Instead of asking about "artificial intelligence", it is better to ask about "the application and ethical challenges of artificial intelligence in the medical field."
• Specific angle: From which angle do you want to get into this topic? For example, to explore the ethical issues of artificial intelligence, you can specify attention to aspects such as "algorithm bias" or "data privacy".
• Expected output form: What kind of results do you want to get? Is it a brief summary? Or a detailed analysis report? Is it a list? Or a chart? By directly explaining your expectations, DeepSeek will better understand your needs. For example, you can say "list the five applications of artificial intelligence in the medical field and briefly explain their principles."

For example, suppose you want to know a laptop of a specific brand. The bad question is: "How is this laptop?" The good question may be: "Compare the pros and cons of the Lenovo ThinkPad X1 Carbon and the Dell XPS 13, focus on battery life and cooling performance, and provide purchase advice." You see, the latter includes a clear brand, specific comparison objects, focus points and expected output forms.

Given another example, suppose you want to know a certain historical event. Asking about "World War II" will get a lot of information, making you unable to start. But if you ask "the key battles and impacts of the Pacific battlefield in World War II", DeepSeek will give you a more focused and accurate answer.

Remember, DeepSeek is not omnipotent, it is just a tool. Making good use of it requires you to master the skills of asking questions. Try more and summarize more, and you will find that clear and specific questions can bring twice the result with half the effort. Don't be afraid to try different ways of asking questions and keep adjusting until you get a satisfactory answer. It's like carving a piece of rough jade, and what will eventually be the "work" you want to see. Trust me, it is definitely worth your time to study. Every effort you put in will be rewarded in the future.

The above is the detailed content of How to ask deepseek. For more information, please follow other related articles on the PHP Chinese website!