Developers worldwide have been eagerly exploring generative AI as a driving force for innovation. However, navigating the complexities of prompt engineering, vector search engines, the retrieval augmented generation (RAG) pattern, and integration with Azure OpenAI Service can be daunting. Today, Microsoft is excited to announce the public preview of Azure AI Studio, a state-of-the-art platform designed to simplify generative AI application development, leveraging OpenAI models such as GPT4, alongside a wide array of other cutting-edge models and services.
Azure AI Studio ushers in a new era of generative AI development. It empowers developers to explore, build, test, and deploy their AI innovations at scale – moving faster from idea to impact. Whether creating custom copilots, enhancing search, delivering call center solutions, developing bots and bespoke applications, or a combination of these, Azure AI Studio provides the necessary support. The unified platform is tailor-made for AI developers to integrate pre-built services and models, prompt orchestration and evaluation, content safety, and responsible AI tools for privacy, security, and compliance, helping developers navigate the complexities of generative AI with confidence.
Here’s what sets Azure AI Studio apart:
- Centralized Access: Explore our suite of cutting-edge AI tools and models – including sophisticated hybrid and semantic search to power retrieval augmented generation (RAG) applications. In addition, Azure AI Studio offers a comprehensive model catalog, including the latest multimodal models like GPT-4 Turbo with Vision coming soon to Azure OpenAI Service and open models like Falcon, Stable Diffusion, and the Llama 2 managed APIs.
- Superior Tools: Developers can ground models on their enterprise data and seamlessly integrate structured, unstructured, and real-time data using Microsoft Fabric. In addition, developers can build and train their own custom models. To ensure applications work at scale, Developers can test, verify, and refine model responses using prompt engineering tools like prompt flow. VS Code, GitHub Codespaces, Semantic Kernel, and LangChain integration deliver a code-centric experience.
- Responsible AI: Azure AI Studio helps developers integrate responsible AI principles into the development process and evaluate AI applications for quality and safety. They can also classify content and detect jailbreak risks using Azure AI Content Safety and monitor applications in production for ongoing compliance with their high standards.
- Thriving Partner Ecosystem: Benefit from the latest models from industry leaders like OpenAI, Nvidia, Hugging Face, Meta, and more, available through Azure AI Studio.
Build on Trust
Azure AI Studio is committed to responsible AI development. Our platform is designed with inclusivity in mind, collaborating with AI developers with disabilities to create a more accessible AI ecosystem. Additionally, Azure AI Studio integrates years of AI policy, research, and engineering expertise from Microsoft to help teams build safe, secure, and reliable AI solutions. Customers benefit from enterprise controls for data privacy, compliance, and security on infrastructure that is purpose-built for AI at scale.
With our newly announced Customer Copyright Commitment, we will defend and indemnify commercial customers from any copyright claims related to their use of Azure OpenAI Service. We are also publishing new documentation to help customers mitigate the risk of infringing output. This will help customers build with confidence as they look to accelerate their external use of generative AI. Learn more here.
Azure AI Studio in Action
Developers can create tailored copilots for various applications, leveraging Azure AI Studio's pre-orchestrated capabilities. A gallery of industry-specific prompt samples helps facilitate the development of domain-specific copilots. Whether developing enterprise chat solutions, enhancing customer interactions with multimodal experiences, or delving into speech analytics, Azure AI Studio provides the needed tools.
Fueling Customer Innovation Generative AI is a catalyst for innovation. With Azure AI Studio, customers are simplifying app development, maximizing existing digital investments, fueling innovation, and delivering exceptional customer experiences – driving revenue for their businesses.
- Learn how Siemens Digital Industries (DIS) is improving manufacturing operations, safety, and reliability using Azure AI Studio
- Learn how Perplexity.AI was able to speed time-to-market for its AI answer engine using Azure AI Studio
Join the Era of AI
Embark on your AI development journey with Azure AI Studio. Assemble powerful AI tools and machine learning models, enhancing efficiency while upholding responsibility.
Are you ready to supercharge your digital stack with generative AI? Access Azure AI Studio now and explore our comprehensive software development kit (SDK), documentation, and training modules to kickstart your transformative journey. Let’s shape the future of AI together.
- Azure AI Studio preview
- Azure AI SDK
- Azure AI Studio documentation
- Introduction to Azure AI Studio (learn module)
