Okay, so let's keep talking a little bit more about the OpenAI API.
What we have done in this lesson and in the notebook.
The associated notebook is go into the quick start, mostly into the quick start.
But also we have review some of the other sections of the documentation.
So my recommendation to you is that you come here yourself to the Quick Start tutorial and you work
on it.
You know, you, uh, go through it and you complete the quick start.
You are going to see some changes from the previous version of, uh, OpenAI.
And you are going to see that after the quick start, uh, tutorial.
It may be interesting for you to go further with the documentation.
My comment about that would be.
In this.
In this point, I would recommend you to go through the Quick Start tutorial, and then I make a very
quick review of, uh.
What you have in the rest of the documentation, and if later you are working in a project that requires
a higher understanding or a higher mastery of the OpenAI API, then come back here and focus on the
section.
Well, probably you are going to start with tutorials here, which is like a second step after the quick
start tutorial.
Very interesting.
Then you can go depending on the the necessity you have uh, to the next section where you can go deeper
into text function calling or embeddings.
These three are the most popular ones, but you can also go to vision, a text to speech to speech or
speech to text, etc., etc. right?
Image generation, etc. this is multimodality.
You can also go to the assistance section if you are working with kind of agent approaches.
And finally here you have a very interesting section with interesting guides to optimize or use best
practices okay.
Production best practices, safety best practices, best practices about controlling the cost, you
know, and also best practices about a prompt engineering.
You also have a other interesting things in the OpenAI documentation, especially the examples Gallery.
The.
Playground and the cookbook with more than 100 recipes and tips.
Very interesting, but my recommendation for you is do not spend time here until you are sure you need
this API.
One exception for that rule could be function calling.
Even when you are probably going to use OpenAI function calling from long chain or llama index.
It is recommendable for you when you are using function calling to come back here and go deeper into
how it works directly here in the documentation, because at the end of the day, long chain and lambda
index are going to use this documentation to build their own layer on top of it.
So I would recommend you to take a look at this section and especially to this part here the examples
okay.
So in the next lesson we are going to talk a little bit more about this.
But I think it is almost everything already said about that.