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added BreakingNews.ipynb and updated readme

Jeff Tang il y a 1 an
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2 fichiers modifiés avec 418 ajouts et 2 suppressions
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      llama-demo-apps/BreakingNews.ipynb
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      llama-demo-apps/README.md

Fichier diff supprimé car celui-ci est trop grand
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llama-demo-apps/BreakingNews.ipynb


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llama-demo-apps/README.md

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 # Llama2 Demo Apps 
 # Llama2 Demo Apps 
 
 
-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.
+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.
 
 
 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.
 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.
 
 
@@ -40,7 +42,7 @@ This demo app uses Llama2 to return a text summary of a YouTube video. It shows
 ## [NBA2023-24](StructuredLlama.ipynb): Ask Llama2 about Structured Data
 ## [NBA2023-24](StructuredLlama.ipynb): Ask Llama2 about Structured Data
 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.
 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.
 
 
-## [BreakingNews](LiveSearch.ipynb): Ask Llama2 about Live Data
+## [BreakingNews](BreakingNews.ipynb): Ask Llama2 about Live Data
 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.
 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.
 
 
 ## Quick Web UI for Llama2 Chat
 ## Quick Web UI for Llama2 Chat