We are excited to reveal the launch of OpenAI’s newest offering on Azure, the GPT-4o-2024-08-06. This latest model introduces advanced features aimed at improving developer interactions on Azure, including enhancements in productivity through Structured Outputs such as JSON Schemas for both GPT-4o and GPT-4o mini models.
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The GPT-4o was initially unveiled in May 2024 as OpenAI’s groundbreaking multimodal model, followed by the GPT-4o mini released in July 2024. The current update is tailored specifically to streamline the generation of precise, structured outputs from AI models. This is especially useful for developers who need to ensure consistency and accuracy in formatting AI-generated outputs into structures such as JSON Schemas, a common challenge in development workflows.
The Structured Outputs feature allows developers to delineate the desired output format straight from the AI model. By enabling developers to define JSON Schemas for text outputs, this functionality eases the creation of data structures that are perfectly aligned for seamless integration with other systems or for heightening user engagement.
JSON Schema is vital for defining the structure and constraints of JSON documents, ensuring adherence to specified formats with required properties and value types. It promotes data clarity through semantic annotation and acts as a domain-specific language tailored to application needs. Development teams leverage JSON Schema to ensure consistency across different platforms, enforce model-driven UI constraints, and automate user interface generation. It supports data serialization, security testing, and partial validation in technical contexts. JSON Schema plays a significant role in automated testing, Schema inference, and creation of machine-readable web profiles, boosting data interoperability. It standardizes validation interfaces and reporting, manages external validation, and maintains data consistency within and across documents. Additionally, it is instrumental in customer support and effective communication.
Structured Outputs is presented in two variations:
To begin with Structured Outputs, the following method is recommended:
Consider a scenario where you’re developing a customer support chatbot that requires generating responses in a specific format for logging and analytics purposes. Utilizing Structured Outputs, you can establish a JSON Schema incorporating fields such as responseText, intent, confidenceScore, and timestamp. This setup guarantees that each response by the chatbot is appropriately formatted, simplifying logging, analysis, and further action.
Here’s an example API call to illustrate how to use Structured Outputs:
We will make pricing for this feature available soon. Please bookmark the Azure OpenAI Service pricing page.
We’ve been rolling out several new models recently, and we understand it can be a lot to keep up with. This flurry of activity is all about empowering developer innovation. Each new model brings unique capabilities and enhancements, helping you build even more powerful and versatile applications.
The launch of this new model feature for GPT-4o and GPT-4o mini marks a significant milestone in our ongoing efforts to push the boundaries of AI capabilities. We’re excited to see how developers will leverage these new features to create innovative and impactful applications.
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Stay tuned for more updates and get ready to experience the future of AI with these new developer features for GPT-4o and mini. Start experimenting in the Azure OpenAI Playground.
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