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### Motivation and Context <!-- Thank you for your contribution to the semantic-kernel repo! Please help reviewers and future users, providing the following information: 1. Why is this change required? 2. What problem does it solve? 3. What scenario does it contribute to? 4. If it fixes an open issue, please link to the issue here. --> Our chat completion concept samples are not well organized and over-complicated with prompts and different settings. ### Description <!-- Describe your changes, the overall approach, the underlying design. These notes will help understanding how your code works. Thanks! --> This PR refactors the samples such that they only capture the essential concepts to the chat completion services. This PR also adds sample usage for all supported chat completion services in Semantic Kernel Python. ### Contribution Checklist <!-- Before submitting this PR, please make sure: --> - [x] The code builds clean without any errors or warnings - [x] The PR follows the [SK Contribution Guidelines](https://github.com/microsoft/semantic-kernel/blob/main/CONTRIBUTING.md) and the [pre-submission formatting script](https://github.com/microsoft/semantic-kernel/blob/main/CONTRIBUTING.md#development-scripts) raises no violations - [x] All unit tests pass, and I have added new tests where possible - [x] I didn't break anyone 😄
Semantic Kernel Samples
| Type | Description |
|---|---|
getting_started |
Take this step by step tutorial to get started with Semantic Kernel and get introduced to the key concepts. |
getting_started_with_agents |
Take this step by step tutorial to get started with Semantic Kernel Agents and get introduced to the key concepts. |
concepts |
This section contains focused samples which illustrate all of the concepts included in Semantic Kernel. |
demos |
Look here to find a sample which demonstrate how to use many of Semantic Kernel features. |
learn_resources |
Code snippets that are related to online documentation sources like Microsoft Learn, DevBlogs and others |