Explore Azure Machine Learning's selection of pre-trained models from leading sources like OpenAI, Microsoft, and Hugging Face. In this video I'll guide you through the process of choosing, deploying a model on Azure's computing services, and accessing it through a REST API.
Leverage Azure OpenAI in a Fabric Jupyter notebook to summarize user review data, securely store secrets in Azure Key Vault, and handle data in Fabric Lakehouse’s Delta tables.
Microsoft recently released a new app for Android users -- Copilot for Android. Being a regular user of ChatGPT for iOS and Bing with GPT for iOS, I was anxious to get my hands on Microsoft's Android offering. Here are my thoughts!
Last week Google shipped the first version of its Gemini large language model and made APIs available to developers. In this post we'll build a fully functional Gemini Chatbot using Streamlit!
This video is an end--to end walk through using Microsoft Copilot Studio to create a custom Microsoft Teams copilot that answers questions about organizational data. The walk through starts from scratch and ends with a finished Copilot published to a Teams channel.
My playlist of important AI practitioner focused sessions from Microsoft Ingnite 2023
This is a quick demo of how I use Bing Image Creator and Photoshop Generative AI together to create AI-generated images.
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.
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.