Difference between Azure OpenAI studio

Question

Hello all , May i know the difference between azure portal's Azure OpenAI studio and Azure AI Studio https://ai.azure.com/?reloadCount=2 becoz i find somewhere they are similar, may i know what exactly the difference.Thanks all .

Answer 1

@CHUN HO CHAN Welcome to Microsoft Q&A Forum, Thank you for posting your query here!

Azure OpenAI Studio is a web-based interface that allows you to interact with Azure OpenAI Service. You can use the Playground to experiment with the service’s capabilities by submitting prompts and generating completions. It provides below functionalities:

• Chat playground: Design a customized AI assistant using chatgpt. Experiment with gpt3.5 turbo and gpt-4 models
• Completions playground: Experiment with completion models for use cases such as summarization, content generation and classification.
• DALL-E Playground: generate Unique images by writing descrioptions in natural language.
• Whisper speech to text: Transcribe your audio using the whisper model. Use text prompts to improve transcriptions quality.
• Bring your own data (preview) Connect and ground your data. Deploy to a webapp or Power Virtual Agent bot.

Azure AI Studio , on the other hand, is intended for AI software developers and it provides the below functionalities:

• Build generative AI applications on an enterprise-grade platform.
• Directly from the studio you can interact with a project code-first via the Azure AI SDK and Azure AI CLI.
• Azure AI Studio is a trusted and inclusive platform that empowers developers of all abilities and preferences to innovate with AI and shape the future.
• Seamlessly explore, build, test, and deploy using cutting-edge AI tools and ML models, grounded in responsible AI practices.
• Build together as one team. Your Azure AI resource provides enterprise-grade security, and a collaborative environment with shared files and connections to pretrained models, data and compute.
• Organize your way. Your project helps you save state, allowing you iterate from first idea, to first prototype, and then first production deployment. Also easily invite others to collaborate along this journey.
• With Azure AI Studio, you can evaluate large language model (LLM) responses and orchestrate prompt application components with prompt flow for better performance. The platform facilitates scalability for transforming proof of concepts into full-fledged production with ease. Continuous monitoring and refinement support long-term success.

Please note: Azure AI Studio is currently in public preview. This preview is provided without a service-level agreement, and we don't recommend it for production workloads. Certain features might not be supported or might have constrained capabilities.

Summary: So, while both studios provide a playground for experimenting with AI models, Azure AI Studio offers a broader range of models and tools for building AI applications.

** Please do not forget to "Accept the answer” and “up-vote” wherever the information provided helps you, this can be beneficial to other community members.