What's New in Microsoft Build 2024: phi-3, GPT-4o, Azure Content Safety and more

**About this session:**
What's New in Microsoft Build 2024: phi-3, GPT-4o, Azure Content Safety and more Discover the latest news from Microsoft Build, including phi-3 and GPT-4o with multimodal capabilities, the new Azure AI Studio to simplify development for generative AI applications, and Azure Content Safety for content security in AI apps.

**About the series: Season of AI for Developers**
This series is about the power of AI in application development. First, we'll explore Azure OpenAI concepts, capabilities, considerations and best practices. Then, we'll learn about the latest AI news announced during Microsoft Build 2024 with practical examples. Finally, you'll get to know about the Semantic Kernel framework and the seamless combination of your code with LLMs to build intelligent applications.

**Who is it aimed at?**
This session is aimed at people with prior technical knowledge who are looking to go deeper into the use of advanced AI technologies in the context of Azure and are interested in the latest updates and tools available in this area, such as developers, data scientists, solution architects, project managers, innovators, and IT consultants.

**Why should I attend?**
By attending this series you will be able to:
- Deepen the integration of AI into your apps
- Understand how Azure OpenAI can improve AI/ML workflows.
- Know the advantages of integrating Azure OpenAI into existing architectures.
- Stay up to date with the latest Azure AI innovations and make informed decisions.
- Build new companies or products based on AI.
- Understand the capabilities, benefits and use cases of Azure OpenAI and offer accurate and up-to-date recommendations to their clients.

**Learn more and develop your skills using AI during this series with this Microsoft Learn Collection of ressources:**

[eventID:22929]

[rohiniswathi]

I'm interested in learning about LLM evaluation approaches and in testing and presenting LLM evaluation tools such as MT-Bench, AlpacaEval, and Open LLM Leaderboard. I want ideas and resources. I want to research on LLM Verification and Validation