Discussion of linear regression

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.

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.

In this article, we build a Retrieval-Augmented Generation (RAG) pipeline using KitOps, integrating tools like ChromaDB for embeddings, Llama 3 for language models, and SentenceTransformer for embedding models.

Explore the streamlined process of creating diverse image variations in .NET applications using OpenAI’s enhanced API functionality.

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.

This article explores the various self-hosted AI frameworks available and understand their strengths, weaknesses, and compatibility with your project requirements. Make an informed decision that aligns with your organization's goals

Leveraging Open-Source AI Technologies with Red Hat OpenShift Data Science and Intel® Architecture

This article will show you how to create a module for CodeProject.AI Server that wraps some code that takes a long time to complete

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.