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Hello everyone, and thank you to the Microsoft team for this informative session. I'm John Pearce, Founder at Ainnovétion, where we're actively using Azure AI Studio to develop various models for our AI-powered healthcare solution. As we look to incorporate a generative AI component into our software for 2024, we are considering Azure OpenAI for this purpose. Our specific need is for a model that can automatically pull and incorporate new data points for each individual patient to provide accurate and personalized responses. Could you shed light on whether Azure OpenAI models support this kind of dynamic data ingestion and updating? Additionally, how does Azure OpenAI compare with other platforms in terms of integration, scalability, and security, particularly in a healthcare application context? We're eager to understand the best path forward for our project and greatly appreciate your insights on these critical aspects.
deeikele
Microsoft
MicrosoftIf you’re looking to use Azure OpenAI service to personalize the patient’s response, this is typically well served by a pattern we call “Retrieval augmented generation” (RAG). With this you pass along additional information about the patient as input to the large language model. In Azure AI studio, take a look at playground for prototyping a chat based application, or prompt flow to iterate and evaluate your RAG flow.