Recent innovation in ChatGPT area brought IT developers and learners with great benefit.
Effient and effective utilization of ChatGPT accelerates the learning curve greatly.
How can we improve the quality of response from ChatGPT.
Let’s say you’re learning Azure vnet and came across a new term called "next hop ip".
You can google it or ask to ChatGPT. You choosed later.
You’ll ask like this.
"What is a ‘next hop ip’ in Azure vnet?"
The problem is such question gives very general answer that requires full understanding of related technical terms. You’ll again ask about that new term. "The next hop IP address can be a virtual appliance such as a virtual network appliance… Hmm, then what is virtual appliance?"
You’ll soon feel bored, and will move to google.
I often avoid this situation by simply adding sub queries.
example:
what is "next hop" ip in azure vnet? Explain with example. Just imagine you’re talking to baby.
It gives simpler and more concrete answer, and the point is I don’t feel bored and I can keep going learning from ChatGPT.
So What is your favourite sub query that you like to use to get better response from ChatGPT?
1. It should be powerful in terms of keeping you go on with ChatGPT.
2. It should be versatile query that can be applied to any technical field.
3. It should not distract the attention of ChatGPT from the main point you're asking.
4. It should be as short as possible.
>Solution :
I like using next hop ip as well in chat gpt