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<h1 align="center"> End to End Use Applications using various Llama Models </h1>
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<p align="center">
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- <a href="https://bit.ly/llama-api-e2e"><img src="https://img.shields.io/badge/Llama_API-Join_Waitlist-brightgreen?logo=meta" /></a>
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+ <a href="https://llama.developer.meta.com/join_waitlist?utm_source=llama-cookbook&utm_medium=readme&utm_campaign=end_to_end"><img src="https://img.shields.io/badge/Llama_API-Join_Waitlist-brightgreen?logo=meta" /></a>
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<a href="https://llama.developer.meta.com/docs?utm_source=llama-cookbook&utm_medium=readme&utm_campaign=end_to_end"><img src="https://img.shields.io/badge/Llama_API-Documentation-4BA9FE?logo=meta" /></a>
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</p>
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@@ -103,6 +103,3 @@ This step-by-step tutorial shows how to use the [Messenger Platform](https://dev
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### RAG Chatbot Example (running [locally](./customerservice_chatbots/RAG_chatbot/RAG_Chatbot_Example.ipynb)
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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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