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Okay, so let's keep talking a little bit more about the OpenAI API.

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What we have done in this lesson and in the notebook.

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The associated notebook is go into the quick start, mostly into the quick start.

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But also we have review some of the other sections of the documentation.

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So my recommendation to you is that you come here yourself to the Quick Start tutorial and you work

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on it.

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You know, you, uh, go through it and you complete the quick start.

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You are going to see some changes from the previous version of, uh, OpenAI.

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And you are going to see that after the quick start, uh, tutorial.

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It may be interesting for you to go further with the documentation.

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My comment about that would be.

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In this.

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In this point, I would recommend you to go through the Quick Start tutorial, and then I make a very

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quick review of, uh.

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What you have in the rest of the documentation, and if later you are working in a project that requires

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a higher understanding or a higher mastery of the OpenAI API, then come back here and focus on the

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section.

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Well, probably you are going to start with tutorials here, which is like a second step after the quick

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start tutorial.

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Very interesting.

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Then you can go depending on the the necessity you have uh, to the next section where you can go deeper

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into text function calling or embeddings.

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These three are the most popular ones, but you can also go to vision, a text to speech to speech or

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speech to text, etc., etc. right?

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Image generation, etc. this is multimodality.

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You can also go to the assistance section if you are working with kind of agent approaches.

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And finally here you have a very interesting section with interesting guides to optimize or use best

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practices okay.

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Production best practices, safety best practices, best practices about controlling the cost, you

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know, and also best practices about a prompt engineering.

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You also have a other interesting things in the OpenAI documentation, especially the examples Gallery.

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The.

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Playground and the cookbook with more than 100 recipes and tips.

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Very interesting, but my recommendation for you is do not spend time here until you are sure you need

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this API.

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One exception for that rule could be function calling.

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Even when you are probably going to use OpenAI function calling from long chain or llama index.

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It is recommendable for you when you are using function calling to come back here and go deeper into

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how it works directly here in the documentation, because at the end of the day, long chain and lambda

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index are going to use this documentation to build their own layer on top of it.

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So I would recommend you to take a look at this section and especially to this part here the examples

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okay.

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So in the next lesson we are going to talk a little bit more about this.

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But I think it is almost everything already said about that.