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Rag In Azure (Beta Test) - OneDDL - 08-31-2024 Free Download Rag In Azure (Beta Test) Published 8/2024 MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz Language: English | Size: 795.31 MB | Duration: 1h 10m Extending LLM models using Azure services and tools What you'll learn Understand key concepts of RAG Develop practical, hands-on skills Getting familiar with Azure AI tools and services Extend LLM models with data Requirements Basic programming in Python and Notebooks Basic knowledge in Azure services No required knowledge in LLMs or ML Description [This course is still yet under development and the current release is a Beta test intended for getting feedback]Elevate your development skills with our specialized course designed for developers and IT professionals. This course focuses on the essentials of Retrieval-Augmented Generation (RAG) using Azure's cutting-edge tools and services.Throughout this course, you will:Understand RAG Fundamentals: Learn the core principles of Retrieval-Augmented Generation and its applications.Utilize Azure AI Studio: Gain hands-on experience with Azure AI Studio to build and deploy AI models.Leverage LLM Models like ChatGPT: Integrate and utilize large language models, including ChatGPT, for advanced AI solutions.Embed Vectors with AI Search Service: Master the techniques of embedding vectors and enhancing search capabilities using Azure AI Search service.Use RAG flow with Azure AI Studio: Create your own RAG application with few clicks from the AI Studio.By the end of this course, you will have the skills to implement RAG solutions effectively, leveraging Azure's powerful tools and services. Whether you're looking to advance your career or enhance your technical expertise, this course provides the knowledge and practical experience you need to succeed in the rapidly evolving field of AI and machine learning.Join us and become proficient in the latest AI technologies with Azure! Overview Section 1: Introduction Lecture 1 Introduction Lecture 2 Introduction to RAG[Presentation] Lecture 3[Demo] Creating Azure resources using the portal Lecture 4[Demo] Creating Azure resources using command line Lecture 5[Demo] Connecting to OpenAI ChatGPT model Lecture 6[Demo] Counting the tokens for all documents Lecture 7[Demo] Cleaning the markdown files Lecture 8[Demo] Creating the embedding vector Lecture 9[Demo] Chunking the documents to lower the number of tokens Lecture 10[Demo] Creating Search Index in Azure AI Search Lecture 11[Demo] Uploading the chunks to AI Search Lecture 12[Demo] Searching using Vector embedding Lecture 13[Demo] Chatting with ChatGPT with documents Section 2: RAG made simple in Azure AI Studio Lecture 14 Introduction to RAG inside Azure AI Studio Lecture 15[Demo] Configuring RAG in AI Studio Lecture 16[Demo] Exploring RAG with ChatGPT model Beginner developers who looking for understanding and learning RAG/AI apps,Beginner non-developers looking for an easy way to use LLMs in their company,Anyone looking for creating his own Copilot Homepage Recommend Download Link Hight Speed | Please Say Thanks Keep Topic Live No Password - Links are Interchangeable |