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Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Application implementation with business use cases for safely utilizing generative AI in business operations
| Date | Stars |
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| 2026-07-24 | 1369 |
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| 2026-09-20 | 1387 |
Today
— stars today
This week
+3 stars this week
This month
+12 stars this month
Momentum
18.0
growth rate 0.22%/day
<div markdown="1" align="center">
<h1>Generative AI Use Cases (GenU)</h1>
[](https://aws-samples.github.io/generative-ai-use-cases/index.html) [](https://github.com/aws-samples/generative-ai-use-cases/blob/main/LICENSE) [](https://github.com/aws-samples/generative-ai-use-cases/actions/workflows/node.js.yml) [](https://github.com/aws-samples/generative-ai-use-cases/actions/workflows/browser-extension.yml)
English | [日本語](./README_ja.md) | [한국어](./README_ko.md)
Well-architected application implementation with business use cases for utilizing generative AI in business operations
<img src="./docs/assets/images/sc_lp_en.png" alt="Well-architected application implementation with business use cases for utilizing generative AI in business operations" width="68%">
</div>
> [!IMPORTANT]
> GenU has supported multiple languages since v4.
>
> GenU は v4 から多言語対応しました。日本語ドキュメントは[こちら](./README_ja.md)
## GenU Usage Patterns
Here we introduce GenU's features and options by usage pattern. For comprehensive deployment options, please refer to [this document](docs/en/DEPLOY_OPTION.md).
> [!TIP]
> Click on a usage pattern to see details
<details markdown="1">
<summary><strong><ins>I want to experience generative AI use cases</ins></strong></summary>
GenU provides a variety of standard use cases leveraging generative AI. These use cases can serve as seeds for ideas on how to utilize generative AI in business operations, or they can be directly applied to business as-is. We plan to continuously add more refined use cases in the future. If unnecessary, you can also [hide specific use cases](docs/en/DEPLOY_OPTION.md#hiding-specific-use-cases) with an option. Here are the use cases provided by default.
<br/>
<br/>
<table width="100%">
<thead>
<tr>
<td width="20%">Use Case</td>
<td width="80%">Description</td>
</tr>
</thead>
<tbody>
<tr>
<td>Chat</td>
<td>You can interact with large language models (LLMs) in a chat format. The existence of platforms that allow direct dialogue with LLMs enables quick responses to specific and new use cases. It's also effective as a testing environment for prompt engineering.</td>
</tr>
<tr>
<td>Text Generation</td>
<td>Generating text in any context is one of the tasks LLMs excel at. It generates all kinds of text including articles, reports, and emails.</td>
</tr>
<tr>
<td>Summarization</td>
<td>LLMs are good at summarizing large amounts of text. Beyond simple summarization, they can also extract necessary information in a conversational format after being given text as context. For example, after reading a contract, you can ask questions like "What are the conditions for XXX?" or "What is the amount for YYY?"</td>
</tr>
<tr>
<td>Meeting Minutes</td>
<td>Automatically generate meeting minutes from audio recordings or real-time transcription. Choose from Transcription, News Paper, or FAQ style with zero prompt engineering required.
</td>
</tr>
<tr>
<td>Writing</td>
<td>LLMs can suggest improvements from a more objective perspective, considering not only typos but also the flow and content of the text. You can expect to improve quality by having the LLM objectively check points you might have missed before showing your work to others.</td>
</tr>
<tr>
<td>Translation</td>
<td>LLMs trained in multiple languages can perform translations. Beyond simple translation, they can incorporate various specified contextual information such as casualness and target audience into the translation.Excerpt of 27,409 characters
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Would you bet a product on this? Bounded 0–100 and slow moving.
matched fp:979dcc91dd04eaef, topic:llm, topic:mistral
matched fp:979dcc91dd04eaef, topic:image-generation
matched fp:979dcc91dd04eaef, topic:rag
matched fp:979dcc91dd04eaef, topic:chatbot