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검색, 연결, 성장

Microsoft Reactor

Microsoft Reactor에 가입하고 스타트업 및 개발자와 실시간 소통

돌아가기

#AI102 - Implement Retrieval-Augmented Generation (RAG) with Azure AI

10 12월, 2024 | 11:30 오전 - 12:30 오후 (UTC) 협정 세계시

형식:
Livestream

항목: 핵심 AI

언어: 영어

In this session, we will dive into implementing Retrieval-Augmented Generation (RAG) using Azure OpenAI Service, a technique that enhances model responses by grounding them in specific, custom data sources. You’ll learn how to set up RAG in Azure OpenAI, configure data sources for enhanced response accuracy, and interact with models using API calls to deliver data-informed responses. Hands-on exercises will allow participants to practice integrating RAG with their applications, streamlining knowledge retrieval and improving response relevance.

Read More - https://aka.ms/OpenAI-RAG

How do you think a Start-up will be benefited from this session?
Start-ups can benefit by understanding how to use RAG to enhance their AI’s capabilities with data-grounded responses. With RAG, start-ups can make AI interactions more reliable by referencing up-to-date, relevant data, enabling faster, more accurate customer support, improved decision-making, and streamlined knowledge management. The session will also cover best practices for API and SDK integration, showing how to leverage RAG for efficient data retrieval, helping start-ups reduce operational costs and increase productivity.

The session will focus on:
Introduction to RAG in Azure OpenAI: Understanding the concept and benefits of Retrieval-Augmented Generation. Configuring Azure OpenAI with Your Data: Learn how to add and manage custom data sources.
Using APIs for Data-Informed Interactions: Discover how to query models with your data for more accurate responses. Hands-on Exercise: Participants will practice configuring and using RAG with Azure OpenAI for improved application response quality.

What will the attendees or a Start-up learn from the session?
How to set up RAG using Azure OpenAI and integrate custom data sources.
Techniques for enhancing response relevance by grounding AI interactions in reliable data.
Practical skills in configuring and using Azure OpenAI API for data-informed model responses.
How to utilize RAG to improve AI reliability, leading to faster customer service and better knowledge management.
Best practices for API and SDK integration to maximize RAG’s benefits in real-world applications, helping teams optimize productivity and improve AI solution quality.
This session equips developers, solution architects, and start-ups to leverage RAG with Azure OpenAI, advancing their AI solutions to provide high-quality, data-augmented responses.

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