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

How to implement neural networks for regression in C# ?

Discussion of linear regression

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.

Discover how to leverage AI capabilities in .NET applications for generating custom images from textual descriptions with ease.

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

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

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

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

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