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Building Multi-Agents with Semantic Kernel & Azure Durable Functions | #MVPConnect

一月 29, 2025 | 5:30 - 6:30 上午 (UTC) 协调世界时

准备好开始使用 AI 和最新技术了吗? Microsoft Reactor 提供活动、培训和社区资源,帮助开发人员、企业家和初创公司利用 AI 技术等。 快加入我们吧!

Building Multi-Agents with Semantic Kernel & Azure Durable Functions | #MVPConnect

一月 29, 2025 | 5:30 - 6:30 上午 (UTC) 协调世界时

准备好开始使用 AI 和最新技术了吗? Microsoft Reactor 提供活动、培训和社区资源,帮助开发人员、企业家和初创公司利用 AI 技术等。 快加入我们吧!

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Building Multi-Agents with Semantic Kernel & Azure Durable Functions | #MVPConnect

一月 29, 2025 | 5:30 - 6:30 上午 (UTC) 协调世界时

  • 形式:
  • alt##Livestream直播

主题: 适用于 AI 的基础结构

语言: 英语

This session introduces a cutting-edge approach to developing Durable Multi-Agents using the powerful combination of .NET, Azure Durable Functions, and the Semantic Kernel.

Read More:
https://aka.ms/DurableFunctionsapp
https://aka.ms/CosmosDBforNoSQL

The talk will cover:

  • How Semantic Kernel with .NET simplifies building complex multi-agent workflows.
  • Patterns like Fan-Out/Fan-In and Function Chaining for advanced workflow orchestration.
  • Integrating Azure Cosmos DB and the Semantic Kernel to create a Natural Language to SQL (NL2SQL) layer, enabling enhanced data-driven decision-making with vectorization for similarity-based queries.
  • The scalability, reliability, and security features Azure Durable Functions bring to multi-agent systems, including managed identity connectivity to Azure OpenAI and Cosmos DB.

Key Takeaways:
Attendees will gain insights into creating robust and scalable multi-agent systems, leveraging the latest advancements in .NET and Azure.

Speaker Bio:
Divakar Kumar is a Microsoft MVP in AI and a Microsoft Certified Trainer (MCT), working as a Technical Architect at Flyerssoft. He actively shares his knowledge through blogs, talks, and training sessions, empowering developers to harness the potential of AI in real-world applications.

Social Handle: https://www.linkedin.com/in/divakar-kumar/

先决条件

Attendees should have basic knowledge of:

  • .NET framework and C#.
  • Azure services like Durable Functions and Cosmos DB.
  • Concepts of Large Language Models (LLMs) and vector similarity queries.

主讲人

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