Azure OpenAI Service provides REST API access to OpenAI's powerful language models including the GPT-4, GPT-35-Turbo, and Embeddings model series. These models can be easily adapted to your specific task including but not limited to content generation, summarization, semantic search, and natural language to code translation.
When deploying complex services such as Azure OpenAI, using a Landing Zone approach helps you manage your resources in a structured, consistent manner, ensuring governance, compliance, and security are properly maintained. The Azure OpenAI Landing Zone is a reference architecture that integrates a variety of services to create a seamless infrastructure for running OpenAI workloads.
For enterprise deployments of Azure OpenAI Service, it is recommended to utilise Azure API Management to provide comprehensive logging and monitoring and enhanced security of the API. This combination enables advanced logging capabilities for tracking API usage and performance and robust security measures to help protect sensitive data and help prevent malicious activity.
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Azure OpenAI Landing Zone reference architecture by Freddy Ayala
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Calculating Chargebacks for Business Units/Projects Utilizing a Shared Azure OpenAI Instance by Shikha Sinha
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