You’re trying to improve your skills with prompt engineering, so you asked ChatGPT to generate a paragraph of text. The first prompt you create is, “Tell me about lactose intolerance.” You weren’t satisfied with the results, so for the second prompt you wrote, “Write a blog article on lactose intolerance for my healthcare website.” What did you do with the second prompt that you didn’t do with the first?
A. You started a brainstorming session.
B. You used an analogy.
C. You provided context.
D. You asked for an adversarial response.
C. You provided context.
The answer is C. You provided context.
In the first prompt, “Tell me about lactose intolerance,” there is no context given. This means that ChatGPT has no idea what you want to know about lactose intolerance. It could generate a paragraph about the symptoms of lactose intolerance, the causes of lactose intolerance, or the treatment of lactose intolerance.
In the second prompt, “Write a blog article on lactose intolerance for my healthcare website,” you provide context by specifying that you want a blog article about lactose intolerance for your healthcare website. This gives ChatGPT a better understanding of what you want, and it is more likely to generate a paragraph that is relevant to your needs.
The other options are incorrect. Option A is incorrect because brainstorming is a process of generating ideas, and the second prompt is not a brainstorming session. Option B is incorrect because an analogy is a comparison between two things, and the second prompt does not contain an analogy. Option D is incorrect because an adversarial response is a response that is designed to challenge or contradict the user, and the second prompt does not contain an adversarial response.
Here is an example of how the two prompts might be interpreted by ChatGPT:
- Prompt 1: “Tell me about lactose intolerance.”
- ChatGPT might interpret this prompt as asking for a general overview of lactose intolerance. It might generate a paragraph that describes the symptoms, causes, and treatment of lactose intolerance.
- Prompt 2: “Write a blog article on lactose intolerance for my healthcare website.”
- ChatGPT might interpret this prompt as asking for a blog article that is specifically designed for healthcare professionals. It might generate a paragraph that discusses the medical aspects of lactose intolerance, such as the symptoms, causes, and treatment.
As you can see, the second prompt provides more context than the first prompt. This gives ChatGPT a better understanding of what you want, and it is more likely to generate a paragraph that is relevant to your needs.
- Prompt engineering – Wikipedia
- What is prompt engineering? Definition + skills | Zapier
- What is Prompt Engineering? Explained – HackerRank Blog
- What is Prompt Engineering – The AI Revolution – GeeksforGeeks
- How to perfect your prompt writing for AI generators – The University of Sydney
- Prompt engineering overview | Microsoft Learn
- What is prompt engineering and how does it work? – Android Authority
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