
Unlocking Creativity with Azure OpenAI
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In this chapter, we focused on AOAI, which provides a comprehensive set of tools and services designed to enhance AI model capabilities and integration. At the core of these offerings is the AOAI model context window, which defines the amount of information the models can process at once. We learned that it’s crucial for maintaining coherence and understanding in complex tasks. We also learned that AOAI embedding models facilitate the conversion of text into numerical vectors, enabling better semantic understanding and similarity searches. These embeddings can efficiently be stored and queried using Azure vector databases, which are optimized for handling high-dimensional data, thereby enhancing the performance of AI applications. We also discussed the standard RAG pattern, outlining its step-by-step process flow. Furthermore, we learned that AOAI On Your Data allows organizations to do quick a prototype and leverage these models on their proprietary datasets, ensuring...