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updated readme files

Yuce Dincer il y a 2 mois
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2 fichiers modifiés avec 6 ajouts et 2 suppressions
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      README.md
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      end-to-end-use-cases/README.md

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README.md

@@ -29,6 +29,7 @@ This repository covers the most popular community approaches, use-cases and the
 * 5M long context using [Llama 4 Scout](./getting-started/build_with_llama_4.ipynb)
 * Analyze research papers with [Llama 4 Maverick](./end-to-end-use-cases/research_paper_analyzer/README.md)
 * Create a character mind map from a book using [Llama 4 Maverick](./end-to-end-use-cases/book-character-mindmap/README.md)
+* Convert Powerpoint Decks to Text-to-Speech Ready Transcripts with [Llama 4 Maverick](./end-to-end-use-cases/powerpoint-to-voiceover-transcript/README.md)
 
 ## Repository Structure:
 

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end-to-end-use-cases/README.md

@@ -96,10 +96,13 @@ This step-by-step tutorial shows how to use the [WhatsApp Business API](https://
 
 
 ## [Messenger Chatbot](./customerservice_chatbots/messenger_chatbot/messenger_llama3.md):
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 ### Building a Llama 3 Enabled Messenger Chatbot
 This step-by-step tutorial shows how to use the [Messenger Platform](https://developers.facebook.com/docs/messenger-platform/overview) to build a Llama 3 enabled Messenger chatbot.
 
 
-### RAG Chatbot Example (running [locally](./customerservice_chatbots/RAG_chatbot/RAG_Chatbot_Example.ipynb)
+## [RAG Chatbot Example (running locally)](./customerservice_chatbots/RAG_chatbot/RAG_Chatbot_Example.ipynb)
 A complete example of how to build a Llama 3 chatbot hosted on your browser that can answer questions based on your own data using retrieval augmented generation (RAG).
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+## [Powerpoint to Text-to-Speech Ready Transcripts:](./powerpoint-to-voiceover-transcript/README.md)
+### Knowledge Grounded & Narrative Continuity Enabled TTS Transcript Generation from a Powerpoint Deck
+This tutorial demonstrates the complete workflow for converting PowerPoint presentations into Llama 4 generated TTS transcripts with retrieval augmentation and narrative continuity features, powered by Llama 4 Maverick's vision capabilities through the Llama API.