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Copilots can work alongside you to provide suggestions, generate content, or help you make decisions. Copilots use language models as a form of generative artificial intelligence (AI) and will answer your questions using the data they were trained on. To ensure a copilot retrieves information from a specific source, you can add your own data when building a copilot with the Azure AI Studio (preview).
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Learning objectives
…...more
Copilots can work alongside you to provide suggestions, generate content, or help you make decisions. Copilots use language models as a form of generative artificial intelligence (AI) and will answer your questions using the data they were trained on. To ensure a copilot retrieves information from a specific source, you can add your own data when building a copilot with the Azure AI Studio (preview).
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Learning objectives
Identify the need to ground your language model with Retrieval Augmented Generation (RAG)
Index your data with Azure AI Search to make it searchable for language models
Build a copilot using RAG on your own data in the Azure AI Studio
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Chapters
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00:00 - Introduction
05:36 - Learning objectives
06:36 - What is a copilot?
11:48 - Copilot Development Lifecycle
14:49 - Building a copilot on your data
17:50 - Incorporating domain knowledge
21:26 - Retrieval Augmented Generation (RAG)
28:23 - Demo - Adding data and indexes in Azure AI Studio
38:52 - Q&A
43:25 - Prompt flow
50:02 - Demo - Using a RAG pattern in a prompt flow
1:07:11 - Knowledge check
1:15:13 - Summary
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Presenters
Graeme Malcolm
Principal Content Dev Manager, Data & Ai
Microsoft