From the course: Building Advanced AI Apps with Prompt Flow
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Exploring the Prompt Flow repo in Codespaces
From the course: Building Advanced AI Apps with Prompt Flow
Exploring the Prompt Flow repo in Codespaces
- [Instructor] This course focuses on the open source prompt flow project, so the logical place to start is in its official GitHub repository. This repository contains not only the framework itself, but also the documentation, examples, and tutorials on how to use prompt flow. So this is the place to return anytime you're trying to do something and you need to figure it out, or if you need code examples to start a new flow. What we're going to do is boot up this repository in Codespaces. You can do that either by clicking the Code button and going to Codespaces and click New codespace, or by scrolling down to Installation and clicking on Open in GitHub Codespace. If you can't open it in Codespace, you can also open this project locally on your computer by cloning the project into your computer. If you do so, to get it to work, you need to install a Python environment, a Docker environment, and you need to install all the dependencies. And all of that is described down here in the…
Contents
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What is Prompt Flow?2m 20s
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Exploring the Prompt Flow repo in Codespaces5m 18s
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Exploring the Prompt Flow VS Code extension4m 27s
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Creating a connection to OpenAI4m 8s
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Running Prompt Flow examples4m 46s
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Anatomy of a Prompt Flow5m 19s
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Prompt variants3m 44s
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Batch testing of flows4m 7s
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