- Add AI to your apps
- Learn AI Programming
- Publish your AI projects
Discuss Download Docs
Turn a code snippet, simple Python module, or a Jupyter notebook
into a CodeProject.AI module that can be deployed and used anywhere by everyone. Learn
and AI without fighting tools and setup environments.
Over
1 Million
Downloads!
Latest Modules
- Multi-modal LLM - Chris Maunder
- LLama chatbot on your desktop - CodeProject
- License Plate detection (update) - Mike Lud
- Multi-TPU Coral.AI image detection (update) - Seth
- AI Image generator - Matthew Dennis
4/12/2024 8:00:00 AM by
As businesses navigate the end of BizTalk and seek potent data transformation solutions, Azure Logic Apps has surged to the forefront, offering an agile, serverless platform that simplifies workflow automation.
11/13/2023 8:56:00 PM by
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.
10/11/2023 3:02:00 AM by
Easily interact with OpenAI’s API in .NET applications using the ConnectingApps.Refit.OpenAI NuGet package for streamlined, resilient, and loggable calls.
10/13/2023 1:39:00 PM by
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.
1/3/2024 8:50:00 AM by
This is an article about how to create a Gomoku program with an AI in C#.
10/15/2023 11:57:00 PM by
Discover how to leverage AI capabilities in .NET applications for generating custom images from textual descriptions with ease.
10/13/2023 8:33:00 AM by
Unlock seamless audio transcription capabilities in .NET with OpenAI's API
12/11/2023 10:28:00 AM by
This article explores the use of Stable Diffusion models, focusing on image-to-image generation, using Intel's newly released Intel Data Center GPU Max Series 1100.
7/9/2024 10:10:00 AM by
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.