In today’s rapidly evolving AI landscape, using Large Language Models (LLMs) as-is can be limiting. To unlock their full potential, customization is essential. This session explores the importance of model personalization, covering prompt engineering, Retrieval-Augmented Generation (RAG), and fine-tuning with proprietary data. Learn how tailored AI solutions enhance accuracy, relevance, and efficiency, driving value and keeping your organization at the forefront of AI-driven innovation.

𝗦𝗽𝗲𝗮𝗸𝗲𝗿𝘀: * Yina Arenas * Vijay Aski * Kurt DeMaagd * Daniel Kurdys

𝗦𝗲𝘀𝘀𝗶𝗼𝗻 𝗜𝗻𝗳𝗼𝗿𝗺𝗮𝘁𝗶𝗼𝗻: This is one of many sessions from the Microsoft Ignite 2024 event. View even more sessions on-demand and learn about Microsoft Ignite at https://ignite.microsoft.com

BRK123 | English (US) | AI

MSIgnite

In this session, we’ll explore advanced strategies for scalable serverless RAG applications using Azure Cosmos DB and DiskANN. Topics include architecture simplification, data synchronization, scalability challenges, and multi-tenancy. We’ll discuss the latest developments in vector search, full-text search, and hybrid search in Azure Cosmos DB, showcasing real-world use cases from our customers like EY. Learn how to get started easily with LangChain and Semantic Kernel.

𝗦𝗽𝗲𝗮𝗸𝗲𝗿𝘀: * Bhaskar Bhatt * James Codella * Zhe Li

𝗦𝗲𝘀𝘀𝗶𝗼𝗻 𝗜𝗻𝗳𝗼𝗿𝗺𝗮𝘁𝗶𝗼𝗻: This is one of many sessions from the Microsoft Ignite 2024 event. View even more sessions on-demand and learn about Microsoft Ignite at https://ignite.microsoft.com

BRK193 | English (US) | Data

MSIgnite

GenAI applications and Copilots are transforming the SQL experience. Join us to learn how Microsoft delivers an optimal platform for new AI workloads using vectors and RAG patterns, while ensuring ROI, performance, and security your business demands today. Discover the latest innovations for Azure SQL for gen AI applications and database context-aware Copilots, powered by Azure SQL Database Hyperscale. Ensure your SQL estate is future-ready in this era of intelligent applications and analytics.

𝗦𝗽𝗲𝗮𝗸𝗲𝗿𝘀: * John Tracy * Bob Ward * Muazma Zahid

𝗦𝗲𝘀𝘀𝗶𝗼𝗻 𝗜𝗻𝗳𝗼𝗿𝗺𝗮𝘁𝗶𝗼𝗻: This is one of many sessions from the Microsoft Ignite 2024 event. View even more sessions on-demand and learn about Microsoft Ignite at https://ignite.microsoft.com

BRK192 | English (US) | Data

MSIgnite

In this session for AI devs (or those just getting started), you'll get a quick primer on RAG (Retrieval-Augmented-Generation) fundamentals, then learn how to use LlamaIndex and Azure AI Search to rapidly build, test, and evaluate Advanced RAG applications. Join us for practical information on RAG, popular retrieval strategies and setting up your first data-grounded AI application.

𝗦𝗽𝗲𝗮𝗸𝗲𝗿𝘀: * Farzad Sunavala * Laurie Voss

𝗦𝗲𝘀𝘀𝗶𝗼𝗻 𝗜𝗻𝗳𝗼𝗿𝗺𝗮𝘁𝗶𝗼𝗻: This is one of many sessions from the Microsoft Ignite 2024 event. View even more sessions on-demand and learn about Microsoft Ignite at https://ignite.microsoft.com

BRK106 | English (US) | AI

MSIgnite

Azure AI Search is a full-featured knowledge retrieval system, built to power enterprise-ready RAG applications. Join this session to learn about our latest announcements and our continuous momentum for delivering trend-setting search, superior retrieval quality and enabling RAG at scale.

𝗦𝗽𝗲𝗮𝗸𝗲𝗿𝘀: * Pablo Castro

𝗦𝗲𝘀𝘀𝗶𝗼𝗻 𝗜𝗻𝗳𝗼𝗿𝗺𝗮𝘁𝗶𝗼𝗻: This is one of many sessions from the Microsoft Ignite 2024 event. View even more sessions on-demand and learn about Microsoft Ignite at https://ignite.microsoft.com

BRK105 | English (US) | AI

MSIgnite

What does RAG at scale look like? When building your own copilot, how do you know your application is delivering the responses as designed? Join our session with AT&T, where Mark will share how they built a RAG knowledge management platform on Azure AI Search, powering hundreds of GenAI applications across the organization. We will show how RAG quality is measured, and the variety of use cases built on top of this RAG platform. See what RAG at scale truly looks like in production.

𝗦𝗽𝗲𝗮𝗸𝗲𝗿𝘀: * Mark Austin * Ben Tezcan

𝗦𝗲𝘀𝘀𝗶𝗼𝗻 𝗜𝗻𝗳𝗼𝗿𝗺𝗮𝘁𝗶𝗼𝗻: This is one of many sessions from the Microsoft Ignite 2024 event. View even more sessions on-demand and learn about Microsoft Ignite at https://ignite.microsoft.com

BRK104 | English (US) | AI

MSIgnite

The success of GenAI apps is decided by the accuracy of their responses. Using Retrieval Augmented Generation (RAG), you can improve accuracy by grounding GenAI app responses in your data. In this session, explore advanced RAG techniques in Azure Database for PostgreSQL including new vector search algorithms, parameter tuning, hybrid search, semantic ranking, and the GraphRAG approach. See how customers are using these techniques to deploy corporate development platform for GenAI apps.

𝗦𝗽𝗲𝗮𝗸𝗲𝗿𝘀: * Maxim Lukiyanov * Orhun Oezbek * Jay Yang

𝗦𝗲𝘀𝘀𝗶𝗼𝗻 𝗜𝗻𝗳𝗼𝗿𝗺𝗮𝘁𝗶𝗼𝗻: This is one of many sessions from the Microsoft Ignite 2024 event. View even more sessions on-demand and learn about Microsoft Ignite at https://ignite.microsoft.com

BRK190 | English (US) | Data

MSIgnite

From Chat GPT to the NBA to Mercedes-Benz, Azure Cosmos DB is enabling intelligent apps that change the way we live and work. Join us to learn from KPMG about how they built a generative AI-based assistant, and Bond Brand Loyalty on how they scale data to meet global customer demand, with Azure Cosmos DB. We'll explore capabilities like vector search and how to implement RAG pattern, along with improved elasticity, and greater scale.

To learn more, please check out these resources: * https://aka.ms/Ignite23CollectionsBRK226H * https://info.microsoft.com/ww-landing-contact-me-for-events-m365-in-person-events.html?LCID=en-us&ls=407628-contactme-formfill * https://aka.ms/azure-ignite2023-dataaiblog

𝗦𝗽𝗲𝗮𝗸𝗲𝗿𝘀: * James Codella * Kirill Gavrylyuk * Maria Pallante * Mark Brown * Robert Finlayson * Anitha Adusumilli * Estefani Arroyo * Andrew Liu * Marko Hotti * Rodrigo Souza * Jason Fogaty

𝗦𝗲𝘀𝘀𝗶𝗼𝗻 𝗜𝗻𝗳𝗼𝗿𝗺𝗮𝘁𝗶𝗼𝗻: This video is one of many sessions delivered for the Microsoft Ignite 2023 event. View sessions on-demand and learn more about Microsoft Ignite at https://ignite.microsoft.com

BRK226HG | English (US) | Data

MSIgnite