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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.
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10/11/2023 3:02:00 AM by Daan Acohen
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 Cloud Native Apps Team
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.
3/1/2024 5:17:00 PM by Member 10912276
How to control game elements based on predefined conditions
2/15/2024 6:47:00 PM by Chris Maunder
The full walkthrough of a bare bones module for CodeProject.AI using Python
11/8/2023 12:33:00 PM by Chris Maunder
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.
12/11/2023 10:28:00 AM by Benjamin Consolvo
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.
11/13/2023 8:57:00 PM by Chris Maunder
Use CodeProject.AI Server to simplify your MLOps by providing a self-hosted, open source solution with easy installation, support for any language or framework, and built-in management of AI modules
4/30/2024 1:04:00 AM by Gareth Richards
An implementation of the Neural Network backpropagation learning algorithm in C++ using the BLAS proposal in P1673.
9/19/2023 12:21:00 PM by Cloud Native Apps Team
This article explores the concept of intelligent applications for readers, providing a clear understanding of the role of AI capabilities in modern applications.
7/9/2024 10:10:00 AM by Jozu MLOps
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.