How do you ask him deepseek

The key to using DeepSeek effectively is to ask questions clearly: express the questions directly and specifically. Provide specific details and background information. For complex inquiries, multiple angles and refute opinions are included. Focus on specific aspects, such as performance bottlenecks in code. Keep a critical thinking about the answers you get and make judgments based on your expertise.

How do you ask DeepSeek? Just ask directly. Don't beat around the bush, it's not a human being and won't understand your hints.

But "directly asking" itself has hidden mystery. DeepSeek, or any large language model, is a probability machine. The more precise you ask, the better it answers, which is like dissecting a frog with a sophisticated Swiss Army knife instead of a blunt axe. On the contrary, if your question is vague, it gives you the answers like a pot of stew, which, although rich, looks unnutritional and may even mislead you.

For example, you want to use DeepSeek to write an outline of the paper on "artificial intelligence ethics". If you ask directly, "Write me an outline of the paper on the ethics of artificial intelligence", it may give you a general and uninformed outline. But if you ask "from the perspectives of 'data bias' and 'algorithm transparency', list three arguments separately, and provide a refuted argument for each argument, and finally form an outline of the theory of artificial intelligence", DeepSeek gives The answers will be much more accurate and more valuable. You see, the question itself determines the quality of the answer.

For example, you hope DeepSeek can help you analyze a piece of code. Don't just throw it a piece of code and ask "What's wrong with this piece of code?". It's like throwing a patient to a doctor and saying "Look at what's wrong with him." You need to point out specific aspects that you care about, such as "Where is the performance bottleneck of this Python code? Please analyze its time complexity and make optimization suggestions." This way, DeepSeek can focus on the problems you really need to solve, rather than roaming the code review.

Of course, DeepSeek also has its limitations. It cannot replace human thinking and judgment. It's a powerful tool, but it's just a tool. It cannot complete complex reasoning tasks independently, nor can it conduct original research. What it can do is help you complete tasks faster and more efficiently, saving you time and energy. But it gives you the answers you still need to carefully review and judge with your own expertise. Don't blindly believe it, it is just a powerful assistant, not a omnipotent mentor.

So, how to use DeepSeek effectively? My advice is: Express your needs clearly, describe your question as specifically as possible, and keep a critical mind on its answers. This way, you can maximize the potential of DeepSeek and avoid falling into some common pitfalls. Remember, asking the right question is more important than getting the answer. This is the key to truly mastering DeepSeek.

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