AI coding examples have too many moving parts.We'll be using CodeProject.AI Server as a focus for articles and exploration to make it fun and painless to learn AI programming. We wanted a fun project we could use to help teach developers and get them involved in AI. AI programming is something every single developer should be aware of.The CodeProject.AI Server's Explorer in action Why We Built CodeProject.AI Server There is also a native Windows installer that allows it to run as a service. Under Docker, it runs on any system that can host Docker, and provides specific Arm64 versions for Apple Silicon and Boards such as Raspberry Pi and Jetson. Any language that can make HTTP calls can access the service, and the server does not require an external internet connection. NET, node - whatever works for you.ĬodeProject.AI server runs as a Windows service or under Docker. The AI operations are handled by drop-in modules that can be easily created using any language, any stack, as long as that stack runs on the host machine. Think of CodeProject.AI Server like a database server: you install it, it runs in the background, and provides AI operations for any application via a simple API.

CodeProject.AI Server manages your MLOps for you. Docker Image - CPU, GPU, arm64, Raspberry Pi (2.1.9)ĬodeProject.AI Server: An Artificial Intelligence Serverįor those who want to integrate AI functionality into their applications without writing the AI functionality or dealing with the insanely painful task of ensuring everything is setup correctly.Download Windows Installer 2.1.9.zip - 410 KB.

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