This session will focus on the application of OpenAI’s powerful language models in developing AI-powered applications. OpenAI embeddings provide a rich representation of natural language that can be used for a wide range of Natural Language Processing (NLP) tasks, including sentiment analysis, named entity recognition, and text classification. The session will begin with an overview of OpenAI embeddings and their capabilities. Next, we will build an end-to-end sample using OpenAI and Azure Search. By the end of the session, attendees will have a comprehensive understanding of how OpenAI embeddings can be used to develop intelligent applications and the benefits of incorporating them into their development workflows.