Azure customers now have general access to OpenAI's GPT-4, which remains a leading LLM despite the emergence of alternatives like Claude and Llama 2. While GPT-4 is praised for its detail retention and instruction-following capabilities, privacy and speed concerns have previously deterred some users. Azure OpenAI offers significant speed improvements over OpenAI's public API, though it imposes stricter rate limits and requires careful management of API versions, which can affect prompt responses. Azure's platform also includes content filtering by default, which can be customized. Moving to Azure entails regional deployment and naming considerations, and while startups benefit from generous credits, users encounter challenges such as wait times for model updates and fine-tuning limitations. Despite Azure's complexities, it provides a robust environment for deploying and managing AI models across regions, offering advantages in speed, credits, and user experience for multi-region deployments. Azure's rate limits and deployment nuances necessitate strategic planning, and while fine-tuning options are limited, Azure remains a preferred platform for many despite competition from AWS and Google Cloud.