中This comprehensive course equips you with skills to leverage Azure for building and deploying Large Language Model (LLM) applications. Learn to use Azure OpenAI Service for deploying LLMs, utilizing inference APIs, and integrating with Python. Explore architectural patterns like Retrieval-Augmented Generation (RAG) and Azure services like Azure Search for robust applications. Gain insights into streamlining deployments with GitHub Actions. Apply your knowledge by implementing RAG with Azure Search, creating GitHub Actions workflows, and deploying end-to-end LLM applications. Develop a deep understanding of Azure's ecosystem for LLM solutions, from model deployment to architectural patterns and deployment pipelines.
End to End LLMs with Azure
您将学到什么
Create Large Language Model endpoints in Azure
Use GitHub Actions to deploy a containerized application for LLMs
您将获得的技能
要了解的详细信息
可分享的证书
添加到您的领英档案
作业
2 项作业
授课语言：英语（English）
了解顶级公司的员工如何掌握热门技能
该课程共有1个模块
This week, you will explore architectural patterns and deployment of large language model applications. By studying RAG, Azure services, and GitHub Actions, you will learn how to build robust applications. You will apply your learning by implementing RAG with Azure search, creating GitHub Actions workflows, and deploying an end-to-end application.
涵盖的内容
16个视频11篇阅读材料2个作业1个非评分实验室
从 Machine Learning 浏览更多内容
状态：免费试用Duke University
状态：免费试用Duke University
状态：免费试用Duke University
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