With ChatGPT now available in the Azure OpenAI Service, developers have the opportunity to seamlessly integrate cutting-edge models such as GPT-4, GPT-3, Codex, and DALL-E into their app development process. This means that organizations can now train models with private data without worrying about it being stored or retained in the LLM (Large Language Model), while also giving developers control over model and the ability to innovate. By leveraging on Microsoft Azure’s robust security capabilities, Azure OpenAI provides native support for private networking, ensuring secure and encrypted communication between applications and AI models as well as responsible AI usage. In today’s post, we will explore using GPT-3.5 turbo APIs from Azure OpenAI, along with an open-source ChatBot UI and Azure Monitor, to create a ChatGPT-like platform with monitoring capabilities for external users.
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