This post demonstrates how to use Retrieval Augmented Generation (RAG) to query OpenAI's Large Language Model (LLM) using a Vector database. This technique leverages the language understanding and summarization capabilities of Generative AI while introducing semantic understanding of our own data.
This post walks through the process of moving desktop-based Anaconda/Jupyter machine learning notebooks to Microsoft Fabric Synapse Data Science. The post illustrates the process and includes an embedded video demo.
This post discusses how Microsoft Azure OpenAI service employed a Retrieval Augmented Generation (RAG) technique called Use Your Data to enable Generative AI queries to incorporate private data. A full walk-through solution is included in text and video.
When coloring series on in a Python Matplotlib plot, you can use color names. This post shows each possible name and a visual example of each corresponding color.
This video is a end-to-end tutorial showing how to deploy a Machine Learning model to a REST endpoint callable from another application via the web.