
Unlocking Creativity with Azure OpenAI
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This chapter provided an in-depth exploration of AOAI Service. We began by defining what AOAI Service is and went on to discuss the various model types it offers. We also guided you through the steps to access this service, from creating an AOAI resource to deploying the models and utilizing them for practical applications. Lastly, we shed light on the pricing structure, ensuring you have a clear understanding of how to leverage this powerful AI service within the Azure ecosystem. With this knowledge, you’re well-equipped to harness the capabilities of AOAI Service for your AI and machine learning projects.
Looking ahead to the next chapter, our attention will shift toward delving into advanced topics within AOAI. We’ll explore embedding models and discover how to store these embeddings within a vector database, empowered by the Azure Cognitive Search service. Additionally, we’ll delve into the concept of model grounding and the intricacies of fine-tuning...