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# Llama2 Demo Apps
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-This folder showcases the Llama2-powered apps. We start with three quickstart demos showing how to run Llama2 locally on a Mac, remotely in the cloud, and on a Google Colab to ask Llama2 general questions or questions about unstructured data not trained for the model.
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+This folder showcases the Llama2-powered apps. If you need a general understanding of GenAI, Llama2, prompt engineering and RAG, be sure to first check the [Getting to know Llama 2 notebook](https://github.com/facebookresearch/llama-recipes/blob/main/examples/Getting_to_know_Llama.ipynb) and its Meta Connect video [here](https://www.facebook.com/watch/?v=662153709222699).
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+Here we start with three quickstart demos showing how to run Llama2 locally on a Mac, remotely in the cloud, and on a Google Colab to ask Llama2 general questions or questions about unstructured data not trained for the model.
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We then show three demos that ask Llama2 to summarize a YouTube video, to answer questions about structured data stored in a database, and to answer questions about live search results.
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@@ -40,7 +42,7 @@ This demo app uses Llama2 to return a text summary of a YouTube video. It shows
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## [NBA2023-24](StructuredLlama.ipynb): Ask Llama2 about Structured Data
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This demo app shows how to use LangChain and Llama2 to let users ask questions about **structured** data stored in a SQL DB. As the 2023-24 NBA season is around the corner, we use the NBA roster info saved in a SQLite DB to show you how to ask Llama2 questions about your favorite teams or players.
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-## [BreakingNews](LiveSearch.ipynb): Ask Llama2 about Live Data
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+## [BreakingNews](BreakingNews.ipynb): Ask Llama2 about Live Data
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This demo app shows how to perform live data augmented generation tasks with Llama2 and [LlamaIndex](https://github.com/run-llama/llama_index), another leading open-source framework for building LLM apps: it uses the [You.com serarch API](https://documentation.you.com/quickstart) to get breaking news and ask Llama2 about them.
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## Quick Web UI for Llama2 Chat
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