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README.md

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 [![Code style: black](https://img.shields.io/badge/code%20style-black-000000.svg)](https://github.com/psf/black) 
 
 This is the repo for the Stanford Alpaca project, which aims to build and share an instruction-following LLaMA model. The repo contains:
-- A [**web demo**](https://crfm.stanford.edu/alpaca/) to interact with our Alpaca model
 - The [52K data](#data-release) used for fine-tuning the model
 - The code for [generating the data](#data-generation-process)
 - The code for [fine-tuning the model](#fine-tuning)
 
+Note: Due to safety concerns raised by the community, we have decided to shut down the Alpaca live demo. Thank you to everyone who provided valuable feedback.
+
 ## Overview
 
 The current Alpaca model is fine-tuned from a 7B LLaMA model [1] on 52K instruction-following data generated by the techniques in the Self-Instruct [2] paper, with some modifications that we discuss in the next section.