LLM and Azure High Availability

Dr Booma Poolan Marikannan – Enhancing Large Language Models with RAG for Effective GenAI cutting-edge solutions In this talk, we’ll explore how Retrieval-Augmented Generation (RAG) revolutionizes Generative AI (GenAI) by seamlessly integrating fresh, trusted data from knowledge bases and enterprise systems. We’ll delve into the challenges faced by Large Language Models (LLMs) and how RAG bridges the gap between raw data and actionable insights. Key Takeaways: 1. RAG Empowers LLMs: Understand how RAG injects fresh, trusted data into LLMs, making GenAI more effective. 2. Personalization: Appreciate how RAG integrates individual customer data, enhancing chatbot interactions and recommendations. 3. Efficiency and Accuracy: Recognize RAG’s cost-effectiveness in keeping LLMs relevant without frequent retraining. Florian Lenz - Globally distributed application in Azure - cloud architecture for high availability and low latency Learn how easy and cost-effective it is to deploy a globally distributed application with Azure Functions, Azure Front Door and Azure Cosmos DB. In this talk, I'll show you how to take advantage of the Azure Cloud to create an architecture that delivers low latency, high scalability and maximum availability to globally distributed users. This talk is aimed at developers and architects who want to deploy highly available and scalable applications globally. Companies that want to optimize their operating costs and minimize latency for their global users will also benefit from these solutions. You can look forward to an exciting live demo that shows how quickly and easily a globally distributed application can be implemented. In addition to the practical demonstration, you will receive an introduction and valuable best practices to take your applications to the next level. #azuresecurity #auzredevops #azuresql #microsoft #microsoftazure #azureopenai