发现、联系、增长

Microsoft Reactor

加入 Microsoft Reactor 并实时与初创公司和开发人员互动

是否准备好开始使用 AI？  Microsoft Reactor 提供活动、培训和社区资源，以帮助初创公司、企业家和开发人员利用 AI 技术打造新业务。快加入我们吧！

发现、联系、增长

Microsoft Reactor

加入 Microsoft Reactor 并实时与初创公司和开发人员互动

是否准备好开始使用 AI？  Microsoft Reactor 提供活动、培训和社区资源，以帮助初创公司、企业家和开发人员利用 AI 技术打造新业务。快加入我们吧！

Build your own AI agent with LangChain and Azure OpenAI | #AzureHappyHours

29 九月, 2023 | 11:30 上午 - 12:30 下午 (UTC) 协调世界时

形式:
直播

主题: 核心 AI

语言: 英语

AI Agents are powering the next wave of LLM applications. With the capability to talk to other apps or APIs and perform actions on your behalf, they are increasingly being used to solve complex and interesting problems. In this talk, I will tell you what agents are, how you can build them yourselves and where to go next!

The session will focus on Azure OpenAI, LLMs, AI Agents, Azure App Service.

What will the attendees learn from session?
-How to use Azure OpenAI to access and use OpenAI’s LLMs
-Understand what AI Agents are and how they work.
-How to connect your agent to different tools and how to build them yourself.

Event Host: Reshmi Sriram
Reshmi is a PM @ Azure Native ISV Services, previously at Static Web Apps, Microsoft. True to her not-so-great coding skills, she now works at improving the developer experience for beginners and enthusiasts, and firmly believes in building a strong community of supportive developers. Goes by the mantra "Procrastination is the key to Impulsiveness.

Social Handle of the speaker
Twitter- @ReshSriram

Guest Speaker Bio: Jayesh Sharma
Jayesh loves playing around with new technology and currently builds and manages the infrastructure for machine learning applications at ZenML. He plans his days to maintain a balance between coding, sports and music, and will never refuse a chance to go hiking in nature!

Social Handle of the speaker
Twitter- https://twitter.com/wjayesh/
LinkedIn- https://www.linkedin.com/in/wjayesh/

先决条件

Having a basic understanding of what LangChain is and what it does would be helpful to grasp the session.
Read more - https://python.langchain.com/docs/modules/agents/