4:00 午後 - 5:00 午後 (UTC)

In this session, join Carlotta Castellucio and Korey Stegared-Pace to use Vision Studio to analyze images using the built-in try-it-out experiences, leverage Visual Studio Code and train a custom object detection model with Vision Studio and Image Analysis 4.0

5:00 午後 - 6:00 午後 (UTC)

In this lab led by David Smith and Korey Stegared-Pace, you will understand the capabilities of Azure OpenAI Service and learn how to use and customize natural language generative AI models like GPT-3.5 and ChatGPT.

4:00 午後 - 5:00 午後 (UTC)

You’ll learn how to train a model in the cloud, and how to ensure it performs responsibly. We’ll be using the UCI hospital diabetes dataset to train a classification model using the Scikit-Learn framework. The model will predict whether or not a diabetic patient will be readmitted back to a hospital within 30 days of being discharged.

4:00 午後 - 5:00 午後 (UTC)

You’ll learn how to train a model in the cloud, and how to ensure it performs responsibly. We’ll be using the UCI hospital diabetes dataset to train a classification model using the Scikit-Learn framework. The model will predict whether or not a diabetic patient will be readmitted back to a hospital within 30 days of being discharged.

6:00 午後 - 7:00 午後 (UTC)

In this session, join Korey Stergared-Pace and Matt Gotteiner for a dive deep into learning how to chat with your data. Explore how to use AI-powered search and understanding to facilitate natural language question and answering over your data sets. This session is oriented towards developers and enthusiasts interested in using large language models to comprehend natural language questions and respond effectively with relevant information from a dataset.

5:00 午後 - 6:00 午後 (UTC)

In this demo session, you will learn about what is in Azure AI Language and see how task-oriented and -optimized Language models can help you effectively process and understand documents and meetings, with features such as summarization, translation, PII redaction, sentiment analysis, and named entity recognition, etc. You will see two examples of how these skills can be applied to different scenarios.

5:00 午後 - 6:00 午後 (UTC)

In this session, join Korey Stegared-Pace and Peyton Fraser to learn about building apps with rich conversational AI experience using Azure AI Language and Azure OpenAI

5:00 午後 - 6:00 午後 (UTC)

In this session, join Korey Stegared-Pace and Nabila Babar to learn about using Azure AI studio to create, manage, and deploy AI solutions using Azure OpenAI Service, which provides access to large-scale, generative AI models that can understand and generate natural language and code.

4:00 午後 - 5:00 午後 (UTC)

Kick off Make Azure AI Real Season 2 with Korey and Malena. Make Azure AI Real is a livestream series designed specifically for developers eager to dive into the world of Azure AI. MAIR offers practical, hands-on labs led by subject matter experts (SMEs) who will guide you through the latest developments, tools, and best practices in Azure AI. Whether you’re a seasoned developer or just starting out, this series will provide you with the knowledge and skills to harness the full potential of Azure AI in your projects. Don’t miss out on this opportunity to learn from the best and take your AI capabilities to the next level!

4:00 午後 - 5:00 午後 (UTC)

The world of Small Language Models (SLMs) is a growing one. In this session, we will explore the available SLMs, the unique features of working with SLMs and how to get started. After this workshop you will have a better understand of the benefits and use cases of building with SLMs.

4:00 午後 - 5:00 午後 (UTC)

Explore how to work with agents and multi-agents using the Azure OpenAI Assistants API. Learn to create, manage, and coordinate multiple AI agents to perform complex tasks and enhance your applications. By the end of this video, you’ll have the skills to effectively implement and deploy multi-agent systems using Azure’s powerful tools.

5:00 午後 - 6:00 午後 (UTC)

Join us for a code-first session where you’ll dive into deploying AI solutions using GitHub’s @azure and @workspace agents. We’ll start with a template from the AI template gallery and demonstrate how to deploy it using Azure Developer CLI (azd). You’ll learn how to seamlessly swap out models both locally and in production, ensuring your AI solutions are always up-to-date and optimized. This session is perfect for developers looking to enhance their AI deployment skills with practical, real-world examples.

5:00 午後 - 6:00 午後 (UTC)

Explore how to customize a Mistral AI LLM by tailoring it to your business needs using Azure AI's managed fine-tuning capabilities. By the end of this presentation you should know how to prepare, run and deploy the outcome of a fine-tuning job using Mistral models on Azure AI.

5:00 午後 - 6:00 午後 (UTC)

First, we’ll deep-dive into agentic RAG with Cohere models, covering the transition from vanilla to agentic RAG. Then we'll show how an agent can dynamically route queries to the best data sources for smarter, faster retrievals. Using a notebook example walkthrough, participants will learn to set up and run a simple agent that powers context-aware applications.

5:00 午後 - 6:00 午後 (UTC)

Learn how to finetune and customize generative AI models. Discover techniques for improving model performance and adapting them to your specific needs, while exploring best practices for deployment.