Azure OpenAI Service provides access to OpenAI's GPT-4, GPT-35-Turbo, Embeddings, DALL-E model and more through a REST API, a Python SDK and web-based interface. The models can be adapted to tasks such as content generation, summarization, semantic search and translating natural language to code. Fine-tuning is also available via few-shot learning and the customization of hyperparameters. In comparison to OpenAI's own API, Azure OpenAI Service benefits from Azure's enterprise-grade security and compliance features, is available for more regions (although availability is limited for each of the larger geographic regions) and supports private networking, content filtering and manual model version control. For these reasons and our positive experience with it, we recommend that enterprises already using Azure consider using Azure OpenAI Service instead of the OpenAI API.
With the huge interest in generative AI, many solutions have sprung up to access the major models. If considering or already using Azure, then it's worth assessing Azure OpenAI Service. It provides access to OpenAI's GPT-4, GPT-35-Turbo and Embeddings models through a REST API, a Python SDK and a web-based interface. The models can be adapted to tasks such as content generation, summarization, semantic search and natural language to code translation. Fine-tuning is also available via few-shot learning and the customization of hyperparameters. In comparison to OpenAI's own API, Azure OpenAI Service benefits from Azure's enterprise-grade security and compliance features; it's also available in more regions, although availability is limited for each of the larger geographic regions, and, as of writing, India is not included.
