Build and Modernize Intelligent Apps
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Want to learn how to use OpenAI language models, including GPT-4, GPT-35-Turbo, and Embedings, to create innovative and smart applications? Join this event and learn how Azure OpenAI gives you access to the world’s most advanced language models with a simple interface and optimal scalability. You’ll see how to use Azure OpenAI Studio to explore and optimize models, and how to integrate them into your code.
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Build and Modernize Intelligent Apps
- 1. Build and Modernize Intelligent Apps Lorenzo Barbieri Daniela Tomoiaga
- 2. Generative AI makes apps truly intelligent Modern apps Modern app development principles Microservices-based architecture Rapid innovation with CI/CD Paradigm shift Intelligent apps Natural language interaction Data-driven, personalized experiences that improve over time Quickly deliver new features
- 3. Progressing from now to next Traditional app architectures and platforms are harder/unfeasible to adapt to these new opportunities Traditional databases struggle with geographicallydistributed unstructured data and ensuring low latency access App developers working with AI, data and other product teams need a unified experience across environments that provides an easy integration between services and ensures smooth handoffs CIOs recognize that the foundations… to support AI development must evolve* Transformation Cloud Apps + data AI *2023 Survey conducted by MIT Technology Review Insights, of 600 CIOs and other technology leaders
- 4. Innovate on a pressure tested AI platform AI-based search with ChatGPT Biometric identity verification Personalized recommendations Copilot for Work across Office 365 Copilot assisted coding Microsoft modernized our own flagship apps, and augmented with AI copilots for highly differentiated experiences
- 5. Azure powers OpenAI and ChatGPT ChatGPT Runs on Azure Kubernetes Service Backed by Azure Cosmos DB Developed on GitHub Fastest growing consumer product in history
- 6. Build new Intelligent apps: Develop AI powered applications optimized for cloud
- 7. Realize the power of intelligent apps for your business 1 Build new intelligent apps 2 Add AI capabilities to existing apps 3 Build your own copilot 4 Develop new cloud-native applications 5 Modernize existing applications
- 8. A common platform with the technology you need Application services Azure Kubernetes Service Azure App Service Azure Container Apps Azure Functions AI portfolio Azure AI Services (including Azure OpenAI Service) Azure AI Studio Managed databases Azure SQL family Azure PostgreSQL Azure Cosmos DB
- 9. Services to bootstrap AI and integrate with best of cloud Turing Rich language understanding Z-Code 100 languages translation Florence Breakthrough visual recognition GPT-3/GPT-4 Human-like language generation DALL-E Realistic image generation Codex Advanced code generation ChatGPT Conversation generation Azure AI services Vision Speech Language Decision OpenAI Service Cognitive Search Form Recognizer Immersive Reader Bot Service Video Analyzer Breakthrough research, to AI tools for developers and data scientists to augment the work that people do, freeing up time for more creative tasks and innovative thinking
- 10. Empower developers to combine the power of AI, cloud-scale data, and cloud-native app development Identity RBAC Monitoring Policy AKS Cluster Service Bus Queue Cosmos DB Azure OpenAI or other Azure AI services order-service store-admin makeline-service store-front product-service ai-service
- 11. Add AI capabilities to existing apps: Modernize and enhance existing applications with AI
- 12. Adopt a better software development paradigm Traditional Monolithic apps Waterfall/sequential App server on single machine Many tools, ad hoc automation Designated deploys Cloud-Native Microservice/composite apps DevOps and CI/CD, iterative releases Containers, infrastructure abstraction, serverless Managed databases, AI models, APIs Always shipping code and business value
- 13. End-to-end application platform for intelligent apps Community Security Azure Active Directory Azure Policy Microsoft Defender AI Machine Learning Azure AI Services Azure AI Studio Development tools GitHub Azure API Management Azure Container Registry Visual Studio Code …and more… Azure Kubernetes Service Azure Container Apps Application platforms Azure Functions Azure App Service Managed databases Azure PostgreSQL Azure Cosmos DB Azure SQL family Azure MySQL & MariaDB Storage Azure Storage Observability Azure Monitor Azure App Insights Azure Managed Grafana Azure Arc Cloud operations anywhere
- 14. Demos and reference apps
- 15. BYO copilot - solution architecture With Reference Application you will be able to connect your enterprise data sources to build a ChatGPT like conversational interface. It can be used to search, explore internal data, power a new generation of Support, Sales, Bots. By using Azure Cosmos DB you guarantee full control over your data, extreme availability, real time global access and immediate scalability. Legend: Source Data Semantic Kernel Orchestrated Call Other Service Call Source Data + E mbeddings, Prompts & Completions DATA SOURCES Batch / CDC / Stream Azure Cosmos DB User Interaction CONSUMERS Data Engineers DBAs End Users A zure Ope nAI (E mbeddings AP I) Q&A Web App Files Databases Apps Ask Question 1 Submit Question & History 2 1 Q&A interaction 1 Source data loading 1 Change Feed: Source Documents 2 Index Documents & Embedding Vectors 4 Persist Q&A 6 Persist Embedding Vectors 5 5 Request Completion (Completions API) Request Embeddings (Embeddings API) 3 C ognitive Se arch (H ybrid Index) Azure Ope nAI (Completions AP I) Request Question Embedding (Embeddings API) 3 Search for context data 4 Load Q&A Session 0 Repo: https://github.com/Azure/Build-Modern-AI-Apps Azure Kubernetes Azure Kubernetes
- 16. Reference App: Medical Claims Processing & Handling Repo link: https://github.com/Azure/Medical-Claims-Transaction-Processing-at-scale Uses: Azure Cosmos DB, Azure Kubernetes Services (AKS), Azure OpenAI Services, Azure Synapse Analytics, Event Hubs, Static Web App
- 17. Reference App: Real-time Transactions & Payments Repo link: https://github.com/Azure/Real-time-Payment-Transaction-Processing-at-Scale Uses: Azure Cosmos DB, Azure Kubernetes Services (AKS), Azure OpenAI Services, Static Web App
- 19. Semantic Kernel & Plug-Ins
- 20. Introducing Semantic Kernel • Open-source SDK to orchestrateAI workflows in your applications • Support for Open AI, Azure Open AI and Hugging Face • Available in C#, Python and Java • Plugins • Automatic orchestration with planner • Memory and embeddings
- 21. Extend your application with plugins • Plugins give you the option to: • Enable your AI solution to integrate 3rd party platforms • Easily reuse prompts and features across multiple applications Semantic Functions (prompt) Native Functions OpenAI Plugins
- 28. The Dawnof LMMs: Preliminary Explorations with GPT-4V(ision)
- 33. GRAZIE! LinkedIn.com/in/geniodelmale Connect with me on LinkedIn LinkedIn.com/in/daniela-tomoiaga Connect with me on LinkedIn