Skip to content

Latest commit

 

History

History
21 lines (14 loc) · 1.22 KB

00_Introduction.md

File metadata and controls

21 lines (14 loc) · 1.22 KB

Introduction

Note

This is a 75-minute workshop that will give you a hands-on introduction to the core concepts and best practices for interacting with OpenAI models.

Learning Objectives

By the end of this workshop, you should be able to:

  • Describe OpenAI model capabilities and implementation in the fields of text generation, image generation, multimodal conversation, and Azure AI Agents.
  • Understand prompt engineering concepts and best practices.
  • Leverage generative AI capabilities and apply prompt engineering techniques to your own solutions.

Lab Outline

The lab is organized into 4 sections, taking you through generating text content, image assets, and code snippets through a multimodal conversational interface on Azure with OpenAI models. In addition, we will cover AI Assistants. The goal of the lab is to leverage generative AI capabilities over a wide range of scenarios.

  1. Part 1 - Text Generation Generate text content and descriptions with GPT4o
  2. Part 2 - Image Generation Generate image assets with DALLE-3
  3. Part 3 - Multimodality Leverage multimodal capabilities of GPT-4o to interact with images and text.
  4. Part 4 - Azure AI Agents Use code interpreter to understand your data.