Use CodeProject.AI Server to simplify your MLOps by providing a self-hosted, open source solution with easy installation, support for any language or framework, and built-in management of AI modules

This article explores the concept of intelligent applications for readers, providing a clear understanding of the role of AI capabilities in modern applications.

Learn to create real-time computer vision applications with a couple of Python functions and a model URI.

In the part of our series on intelligent apps, we’ll explore how AI is transforming application development, from design and architecture to building.

The article discusses the challenges in training accurate object detection models for industrial visual inspection and proposes the use of synthetic data to address dataset limitations.

In this four-part series, you’ll learn how to create an Intelligent App with Azure. This second tutorial demonstrates how to add intelligent features to this user feedback analysis application. Then, it explores how to use your new Intelligent App to analyze user feedback.

In this article we will explore how self-hosted AI, specifically CodeProject.AI Server, empowers businesses to leverage the power of AI while maintaining control over their data.

This is an article about how to create a Gomoku program with an AI in C#.

In this first article of our hands-on series, we’ll delve into creating an Intelligent App that leverages Azure AI Vision to analyze images and extract data.

Discover how to leverage AI capabilities in .NET applications for generating custom images from textual descriptions with ease.