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 topic 2 of our series, we explore the power of multi-model databases for Intelligent Apps and their integration with Azure Cosmos DB and Azure Kubernetes Service (AKS).

Democratizing Access to Large Language Models

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

How to implement neural networks for regression in C# ?

An introduction to machine learning with working C++ code that trains a linear regression model.

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.

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

Easily interact with OpenAI’s API in .NET applications using the ConnectingApps.Refit.OpenAI NuGet package for streamlined, resilient, and loggable calls.

This article discusses the application of Stable Diffusion models in generative AI, focusing on image generation from text prompts.