In this four-part series, you’ll learn how to create an Intelligent App with Azure Container Apps. In this fourth and final part, you’ll explore how to integrate a custom model into your Intelligent Apps, enhancing the application’s features with specialized AI.

AlbiruniML is a linear algebra and machine learning library written in pure C# language inspired by tensorflow

As businesses navigate the end of BizTalk and seek potent data transformation solutions, Azure Logic Apps has surged to the forefront, offering an agile, serverless platform that simplifies workflow automation.

Seamlessly convert audio messages to text in .NET using OpenAI's API

A layman's description of how Kalman Filters work, and sample code that shows how to use it to forecast stock market volatilities

Create a ChatGPT-like AI module for CodeProject.AI Server that handles a long-running process.

An implementation of the Neural Network backpropagation learning algorithm in C++ using the BLAS proposal in P1673.

In this four-part series, you’ll learn how to create an Intelligent App with Azure. This first tutorial walks you through what Azure AI and Azure Container Apps are, how to set up an Azure environment, and building your basic application.

The Cheetah Optimizer is a nature-inspired metaheuristic algorithm designed to tackle complex optimization problems across multiple dimensions.

This article explores the use of Stable Diffusion models, focusing on image-to-image generation, using Intel's newly released Intel Data Center GPU Max Series 1100.