Copilot Podcast: Azure AI Studio Announcements from Microsoft Build

Microsoft Copilot

In episode 35 of the “Copilot Podcast,” host Aaron Back discusses the Azure AI Studio announcements that were made at Microsoft Build 2024.

This episode is sponsored by the AI Summit Preconference, a part of the Community Summit North America 2024 experience, taking place on October 13th in San Antonio, Texas. The full-day preconference will feature keynotes, panel discussions, tutorials, fireside chats, use-case analysis, innovation profiles, and more. Register for the AI Summit Preconference now.

Key Takeaways

  • Copilot at Build: Aaron will be leading a new series called “Copilot at Build” based on the Copilot-specific announcements delivered at Microsoft Build 2024.
  • Azure AI Studio: Azure AI Studio is now generally available and this is part of Microsoft’s Copilot platform. Azure AI Studio extends Copilot’s capabilities and AI functionalities and includes various Azure AI services like Azure AI Search, Open AI, and Azure Machine Learning, which aid developers through a prompted flow for a guided experience.
  • Extensive model catalog: Azure AI Studio’s model catalog includes over 1,600 models from various providers, including Microsoft and Open AI. Developers can experiment with different AI models. Developers can experiment with various models, find prompts through iterative testing, customize these models, and do this in a secure way with their own datasets to get tailored results.
  • Enhanced creativity: Azure AI Studio was celebrated at Microsoft Build for providing professional developers with a comprehensive suite of tools that enhance creativity beyond traditional coding. Developers can now use natural language to engage with AI as a copilot in their development process, allowing them to tap into their creativity more effectively.
  • Shifting directions: These announcements, which are a small sample of those delivered at the event, represent a shift from the conventional view of developers as solely code-focused, towards recognizing their potential for creative problem-solving through innovative AI-assisted tools.

Stream the audio version of this episode here:

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