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Added Notebook for Integrating Llama Guard in LLM Workflow #74

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1 change: 1 addition & 0 deletions .github/README.md
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@@ -139,6 +139,7 @@ Are these models too large for you to run at home? Would you like to experiment
In addition to the generative models, Meta released two new models: Llama Guard 3 and Prompt Guard. Prompt Guard is a small classifier that detects jailbreaks and prompt injections. Llama Guard 3 is a safeguard model that can classify LLM inputs and generations. Learn how to use them as done in the following notebooks:

* [Detecting jailbreaks and prompt injection with Prompt Guard](../llama_guard/prompt_guard.ipynb)
* [Integrating Llama Guard in LLM Workflows for detecting prompt safety](../llama_guard/llama_guard_3_1B.ipynb)

## Synthetic Data Generation
With the ever hungry models, the need for synthetic data generation is
7,349 changes: 7,349 additions & 0 deletions llama_guard/llama_guard_3_1B.ipynb

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