From the course: Foundations of AI and Machine Learning for Java Developers

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Approaches and Java REST libraries

Approaches and Java REST libraries - Java Tutorial

From the course: Foundations of AI and Machine Learning for Java Developers

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Approaches and Java REST libraries

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- [Speaker] Now that we know there are rest APIs for writing gen AI applications with Java, let's see how we can proceed. There are a couple of possible approaches. One way is to write our own Java code. Modern Java has excellent libraries for handling Http and Https to connect to a server using REST and get back a result. This is pretty straightforward. You can ask a language model for some code to get started connected to your language model provider of choice. Building simple code to access a REST endpoint is very straightforward, by the way, since you're typically getting results from the model in JSON format, you'll also need JSON parsing code to retrieve the relevant data. Also, your language model provider may release a version incompatible with the code you wrote, so you may have to change that. I personally encountered this unfortunate issue when writing code for an early version of ChatGPT three. You may also have to add production quality connection code for timeouts…

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