跳至主要内容
megaphone 图标

Microsoft内部版本 2026

在生成Microsoft深入了解实际代码和真实系统

学习、联系、构建

Microsoft Reactor

加入 Microsoft Reactor 并实时与开发人员互动

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!

学习、联系、构建

Microsoft Reactor

加入 Microsoft Reactor 并实时与开发人员互动

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!

返回

AI Workshops, Meeting 4: LLMOps best Practices for Taking LLM-Based Applications from

28 十一月, 2024 | 7:30 上午 - 10:00 上午 (UTC) 协调世界时

位置: Tel Aviv

地址: Derech Menachem Begin 144, Tel Aviv-Yafo 'Midtown' Floor 50

  • 形式:
  • alt##In person亲自 (Tel Aviv)

主题: 代理

语言: 希伯来语

AI Workshop Series at Microsoft Reactor Tel Aviv

Join us for an exclusive series of AI workshops designed to empower professionals with the latest advancements in artificial intelligence. Led by industry experts, these sessions will cover essential topics from foundational concepts to advanced production deployments. Whether you're a seasoned developer or new to AI, these workshops offer something for everyone.

Who Should Attend?
This workshop series is ideal for developers, data scientists, AI practitioners, and anyone interested in deepening their understanding of AI technologies.

Why Attend?
Hands-on Learning: Engage in practical sessions that apply theoretical knowledge to real-world scenarios.
Expert Guidance: Learn from seasoned professionals with extensive experience in AI.
Networking Opportunities: Connect with peers and industry leaders to exchange ideas and collaborate on future projects.
Cutting-Edge Topics: Stay ahead of the curve with insights into the latest AI trends and tools.

Meeting 4: LLMOps best Practices for Taking LLM-Based Applications from Idea to Production

Speakers:
Vlad Feigin, Sr. Technical Specialist, Data&AI, Microsoft
Emanuel Shalmiev, SR Technical Specialist Analytics & AI, Microsoft

Description:
This hands-on session will guide participants through the entire lifecycle of bringing a Large Language Model (LLM)-based application from concept to production.

Ideation: We’ll begin with a brainstorming session to define and refine the application idea.
Proof of Concept: Next, we’ll quickly develop a proof of concept to validate the feasibility of the idea.
Application Development: Participants will learn how to build the first version of the application, including methods for evaluating its quality.
Deployment: Finally, we’ll cover the deployment process, taking the application live in a production environment.

How to Register?
Simply click the registration link and secure your spot! Limited seats are available, so don't miss out on this unique opportunity to enhance your AI skills and knowledge.

先决条件

  1. Access to Azure AI Search service instance.
  2. Access to Azure AI Studio or Azure Open AI.
    In Azure AI Studio/Azure Open AI the following models should be deployed:
    • gpt-4o, gpt-4o-mini, text-embedding-ada-002
    • Pdf documents in a storage account. These documents we’re going to build RAG on top of the VS Code

In terms of permissions the particular must have following permissions:

  1. Azure AI Search : Search Service Contributor, Search Index Data Contributor
  2. Azure Open AI: Cognitive Services Contributor/User
  3. Azure AI Studio: Contributor/ Azure AI Developer (AI Studio project level)
  4. Azure Storage Account: Storage Blob Contributor/Reader

主讲人

本页面的部分内容可能是机器翻译或人工智能翻译.