Join us for an informative session where we'll answer your questions and share practical insights, best practices, and tips to empower you in building enterprise-ready generative AI solutions - including custom copilots, enterprise chat application, and more.
Azure AI Studio is continuing to advance state-of-the-art model and tooling support:
https://aka.ms/DecMoment
Key Topics:
- User Experience: Ask questions about the seamless and intuitive user interface of Azure AI Studio, ensuring a user-friendly experience for AI Developers.
- Enterprise Readiness: Learn how Azure AI Studio caters to the demands of enterprise-scale applications, ensuring robustness, security, and scalability for your AI endeavors.
- Azure AI CLI & SDK: Dive into the command line interface (CLI) and software development kit (SDK) capabilities of Azure AI, empowering a code-first development experience to integrate AI seamlessly into their existing workflows.
- Model Exploration: Explore the vast landscape of models available within Azure AI Studio and understand their potential for various applications.
- Azure OpenAI Service: Uncover the possibilities of utilizing Azure OpenAI Service within Azure AI Studio, enhancing the capabilities of your generative AI applications.
- Real-time Data Ingestion: Learn how to harness the power of real-time data from Microsoft Fabric's OneLake, enabling your applications to stay up-to-date with the latest information.
- Deploy proof of concepts at scale: Gain insights into deploying Proof of Concepts (PoCs) at scale, understanding best practices for showcasing the viability and potential impact of your generative AI solutions.
An AMA is a live text-based online event similar to an “Ask Me Anything” on Reddit. This AMA gives you the opportunity to connect with Microsoft product experts who will be on hand to answer your questions and listen to feedback.
Feel free to post your questions anytime in the comments below beforehand, if it fits your schedule or time zone better, though questions will not be answered until the live hour.
Microsoft
If you are just looking to get experience experimenting with GPT-4, then you can’t go wrong with either approach - it's just up to your preference on UI, ease, cost, ease of access to data sources if you’re planning to use RAG, etc. With Azure AI Studio, you will have access to models from OpenAI via Azure OpenAI Service (note, you will be required to apply for access) as well as other models from Microsoft, Meta, Hugging Face, and other model developers. Beyond having the benefit of access to more models, Azure also provides customers with enterprise security, compliance, data security, responsible AI practices, SLAs, support -- things that Azure customers typically require to bring their LLM applications into production. But again, if you're just experimenting – then the most important thing is just getting started!
