albertodepaola
b330247b76
Merge pull request #16 from meta-llama/lg_inference_update
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1 год назад | |
|---|---|---|
| .. | ||
| llama_guard | 1 год назад | |
| prompt_guard | 1 год назад | |
| Purple_Llama_Anyscale.ipynb | 1 год назад | |
| Purple_Llama_OctoAI.ipynb | 1 год назад | |
| README.md | 1 год назад | |
| code_shield_usage_demo.ipynb | 1 год назад | |
| input_output_guardrails_with_llama.ipynb | 1 год назад | |
README.md
Trust and Safety with Llama
The Purple Llama project provides tools and models to improve LLM security. This folder contains examples to get started with PurpleLlama tools.
| Tool/Model | Description | Get Started |
|---|---|---|
| Llama Guard | Provide guardrailing on inputs and outputs | Inference, Finetuning |
| Prompt Guard | Model to safeguards against jailbreak attempts and embedded prompt injections | Notebook |
| Code Shield | Tool to safeguard against insecure code generated by the LLM | Notebook |
Running on hosted APIs
The notebooks input_output_guardrails.ipynb, Purple_Llama_Anyscale & Purple_Llama_OctoAI contain examples for running Meta Llama Guard on cloud hosted endpoints.