In the last article, we created an Intelligent App that leverages Azure AI Vision to analyze images and extract data. We developed an API to perform optical character recognition (OCR) on uploaded images and tested this API locally.

Effortlessly integrate and leverage OpenAI's text embeddings for enhanced text analysis in your .NET projects.

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.

Optimizing Large Language Models on Intel® Xeon® Processors with Intel® Advanced Matrix Extensions (Intel® AMX)

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

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

How to control game elements based on predefined conditions

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

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

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