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.

How to implement logistic regression in ML.NET?

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.

Dive into the world of machine learning and explore how it empowers businesses to extract valuable insights from vast amounts of data. Discover practical techniques and tools for successful implementation.

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

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

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

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.

An overview on how to interrogate Dall-E in VB.NET

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