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

Democratizing Access to Large Language Models

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.

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.

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.

The full walkthrough of a bare bones module for CodeProject.AI using Python

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

Discussion of linear regression

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.

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