How I use Bing Image Creator and Photoshop Generative Fill together
This is a quick demo of how I use Bing Image Creator and Photoshop Generative AI together to create AI-generated images.
Rob Kerr
42 posts
Create Generative AI Apps with Azure AI Search Integrated Vector Embeddings
This post discusses Azure AI Search integrated vector embeddings for Retrieval Augmented Generation (RAG) when using a large language model for generative AI Q&A solutions, and provides steps to build a vector index using Azure AI Search.
Publish a Streamlit Data App with Docker and Azure Container Registry
This post is an end-to-end tutorial showing how to containerize a Python-based Streamlit data app with Docker and publish it as an Internet-facing web app using Azure Container Registry and Azure App service.
Chunking Text to Vector Embeddings in Generative AI Solutions
This post discusses how to create vector embeddings for documents that are too large to fit into a single embedding vector by chunking data using text splitting. This technique is commonly used when designing Generative AI solutions using Large Language Models.
Fabric Semantic Link: Power BI as a Machine Learning Data Source
This post explains how to use Fabric Semantic Link to leverage Power BI as a data source for Machine Learning model development in Fabric Data Science.
Using IBM Watson Studio with Jupyter Machine Learning Notebooks
This post walks through the creation of a machine learning Jupyter notebook using IBM Watson Studio. The post illustrates the process step-by-step and includes an embedded video demo.
How to Use a Vector Database and Generative AI to Create a Custom Chatbot
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.
Using Fabric Synapse Data Science with Jupyter Notebooks
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.
Bring your own data to Azure OpenAI Service Large Language Models
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.