Generative AI has the potential to create innovative and engaging content, but it is essential to implement it responsibly to avoid generating harmful or inappropriate content. In this session, we will guide you through the best practices for planning and operating a responsible generative AI solution using Azure OpenAI. You will learn how to identify, measure, and mitigate potential harms, ensuring that your AI models align with ethical standards. Additionally, we will explore the DALL-E model within Azure AI Studio, showcasing how to generate original images from natural language prompts. By the end of this session, you will be equipped to build and manage generative AI solutions that are both creative and responsible.

Read More:
https://aka.ms/AI-Service
https://aka.ms/Generative-AI

How do you think a Start-up will be benefited from this session?
Start-ups can benefit from this session by learning how to harness the power of generative AI, such as DALL-E, while ensuring ethical and responsible implementation. This knowledge will help start-ups create innovative products that generate creative content, such as images, while minimizing the risk of harmful or inappropriate outputs. By focusing on responsible AI practices, start-ups can build trust with their users, reduce potential liabilities, and stand out in a competitive market by offering AI-driven features that are both cutting-edge and ethically sound.

The session will focus on:
Planning a Responsible Generative AI Solution: Learn how to design generative AI systems with responsibility in mind, from the initial concept to deployment.
Identifying Potential Harms: Understand the types of harmful content that generative AI might produce and how to recognize these risks early in the development process.
Measuring and Mitigating Harms: Discover techniques to assess the potential impact of harmful content and implement strategies to mitigate these risks effectively.
Operating a Responsible Generative AI Solution: Explore ongoing practices for monitoring and managing generative AI systems to ensure they remain safe and effective over time.
Exercise - Explore Content Filters in Azure OpenAI: Hands-on experience in using Azure OpenAI's content filtering features to safeguard against harmful outputs.
Introduction to DALL-E: Get an overview of the DALL-E model and its capabilities in generating original images from text descriptions.
Exploring DALL-E in Azure AI Studio: Learn how to work with DALL-E within Azure AI Studio, including setting up and managing the model.
Using the Azure OpenAI REST API to Consume DALL-E Models: Step-by-step guide to integrating DALL-E into your applications using the Azure OpenAI REST API.
Exercise - Generate Images with a DALL-E Model: Practical exercise to generate and refine images using DALL-E in Azure AI Studio.

What will the attendees or a Start-up learn from the session?
How to plan, identify, and mitigate risks associated with generative AI to ensure responsible AI implementations.
Best practices for operating and managing generative AI solutions to maintain ethical standards and minimize potential harm.
How to utilize DALL-E within Azure AI Studio to generate creative images from natural language prompts.
Practical skills for integrating DALL-E models into applications using the Azure OpenAI REST API, enabling the creation of innovative AI-driven content.
Hands-on experience in using content filters to safeguard against harmful outputs, ensuring that generative AI models produce safe and appropriate content.
This session will empower participants to develop and deploy generative AI solutions that are not only innovative but also align with ethical practices, enhancing both the functionality and reputation of their AI-driven products.

Speaker BIO- Viswanatha Swamy
He is an aspirant Software Architect and currently, he works at Applied Information Sciences. He is passionate about C#, ASP.NET, Azure, Performance testing/tuning, .NET Core, and Docker. He loves to learn about new technologies.

Social Handle- https://twitter.com/vishipayyallore