Azure AI Studio
Simplify generative AI development
- Browse the latest AI models and managed API services and discover the right ones for your use case.
- Access generative AI tools to ground and fine-tune models, orchestrate prompts, and evaluate app performance.
- Confidently build with responsible AI technologies, templates, and best practices, including content filters and controls.
- Deploy and scale AI solutions for use in websites and applications, and continuously monitor performance.
Build cutting-edge AI solutions
Improve customer experiences
Reduce organizational risk
Improve work quality
Enhance productivity and efficiency
Learn why Microsoft was named a Leader in the 2023 Gartner® Magic Quadrant™ for Strategic Cloud Platform Services (SCPS).
Capabilities
Built-in security and compliance
Flexible consumption-based pricing
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FAQ
- AI Studio is intended for professional software developers including cloud architects and technical decision-makers who want to create generative AI applications and custom copilot experiences.
- Yes. Azure AI Studio includes a robust and growing catalog of frontier and open-source models from OpenAI, Hugging Face, Meta, and other partners that can be applied over your data. You can even compare models by task using open-source datasets and evaluate the model with your own test data to see how the pretrained model would perform to fit your own use case.
- Prompt flow is complementary to LangChain and Semantic Kernel—and it can work with either. Prompt flow provides evaluation, deployment, well-defined asset monitoring, and flow logic to help debug applications and test orchestration at scale.
- Prompt templates in prompt flow provide robust examples and instructions for avoiding prompt injection attacks in the application. Azure AI Content Safety helps to detect offensive or inappropriate content in text and images. Content moderation also checks for jail breaks.
- Azure AI Studio offers retrieval augmented generation (RAG) and prompt crafting in addition to fine-tuning, which can help improve the accuracy of open-source models.
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[1] Gartner, Magic Quadrant for Cloud AI Developer Services, Jim Scheibmeir, and 4 more, April 22, 2024.
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