In this lesson we are going to talk about what are prompts.
So prompts are more or less.
And in our case, I think we can go with this definition.
Prompts are the context we provide to the LM to answer a question.
So if you remember.
Excuse me.
If you remember, in our previous example, we said that a context is when we ask ChatGPT things like
give me a summary of the Bible in less than 100 words.
And I told you this is context.
This is the context.
Well, this is the prompt as well.
When we ask ChatGPT to explain the theory of relativity to a six year old, this is the context.
And this is also the prompt.
When we say act as if you were a botany professor and explain photosynthesis.
To me this is context and this is also the prompt.
Okay.
So it is important to understand that the quality of LMS responses will depend on the quality of our
prompts.
We are going to see more about that later.
So right now just think of the prompts as the information we give to the LM in order to receive an answer.
Prompts.
Seems it seemed like a very simple concept, but they can be really complex.
You will see when we start working with LM applications, because prompts can have variables, different
components.
It can be, you know, made or built from different, uh, different parts of our application.
And we have.
Some security risks and problems associated with problems.
So we will see more about that.
But as you can see the concept, the basic concept of prompts is very easy.
Very simple is the information we provide to the LM in order to answer a question.
In the next lesson, we are going to talk about prompt engineering.
If you remember, one of the first things that appear on the news after the launch of ChatGPT was this
thing called prompt engineering.
And in some media you could read that prompt engineering was going to be the profession of the future,
and they made so much money just to ask, you know, the right questions to ChatGPT, blah, blah.
Well, there is some legend around that.
There are.
Some things that are not accurate, but there is some truth to that.
So in the next lesson we are going to, uh, talk about proper Indian prompt engineering, what it is,
uh, and, and how it is important for us as LM developers.