update rai readme

README.md

@@ -145,6 +145,7 @@ Contains examples are organized in folders by topic:
 [use_cases](./recipes/use_cases)|Scripts showing common applications of Meta Llama3
 [3p_integrations](./recipes/3p_integrations)|Partner owned folder showing common applications of Meta Llama3
 [responsible_ai](./recipes/responsible_ai)|Scripts to use PurpleLlama for safeguarding model outputs
+[experimental](./experimental)|Meta Llama implementations of experimental LLM techniques
 
 ### `src/`
 

recipes/responsible_ai/README.md

-# Meta Llama Guard
+# Trust and Safety with Llama
 
-Meta Llama Guard models provide input and output guardrails for LLM inference. For more details, please visit the main [repository](https://github.com/meta-llama/PurpleLlama/).
+The [Purple Llama](https://github.com/meta-llama/PurpleLlama/) project provides tools and models to improve LLM security. This folder contains examples to get started with PurpleLlama tools.
 
-**Note** Please find the right model on HF side [here](https://huggingface.co/meta-llama/Llama-Guard-3-8B).
+| Tool/Model | Description | Get Started
+|---|---|---|
+[Llama Guard](https://llama.meta.com/docs/model-cards-and-prompt-formats/llama-guard-3) | Provide guardrailing on inputs and outputs | [Inference](./llama_guard/inference.py), [Finetuning](./llama_guard/llama_guard_customization_via_prompting_and_fine_tuning.ipynb)
+[Prompt Guard](https://llama.meta.com/docs/model-cards-and-prompt-formats/prompt-guard) | Model to safeguards against jailbreak attempts and embedded prompt injections | [Notebook](./prompt_guard/prompt_guard_tutorial.ipynb)
+[Code Shield](https://github.com/meta-llama/PurpleLlama/tree/main/CodeShield) | Tool to safeguard against insecure code generated by the LLM | [Notebook](https://github.com/meta-llama/PurpleLlama/blob/main/CodeShield/notebook/CodeShieldUsageDemo.ipynb)
 
-### Running locally
-The [llama_guard](llama_guard) folder contains the inference script to run Meta Llama Guard locally. Add test prompts directly to the [inference script](llama_guard/inference.py) before running it.
 
-### Running on the cloud
-The notebooks [Purple_Llama_Anyscale](Purple_Llama_Anyscale.ipynb) & [Purple_Llama_OctoAI](Purple_Llama_OctoAI.ipynb) contain examples for running Meta Llama Guard on cloud hosted endpoints.
+
+### Running on hosted APIs
+The notebooks [input_output_guardrails.ipynb](./input_output_guardrails_with_llama.ipynb),  [Purple_Llama_Anyscale](Purple_Llama_Anyscale.ipynb) & [Purple_Llama_OctoAI](Purple_Llama_OctoAI.ipynb) contain examples for running Meta Llama Guard on cloud hosted endpoints.