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@@ -32,7 +32,7 @@ To run Llama2 in Google Colab using [llama-cpp-python](https://github.com/abetle
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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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## [VideoSummary](VideoSummary.ipynb):
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-This quick demo app uses Llama2 to return a text summary of a YouTube video.
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+This demo app uses Llama2 to return a text summary of a YouTube video content. It shows how to retrieve the caption in a YouTube video and how to ask Llama to summarize the content in four different ways, from the naive way that works for short text to more advanced way of using LangChain's map_reduce and refine methods to bypass the limit of Llama's max input token size.
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## [BreakingNews](LiveSearch.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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Jeff Tang