Draft:LlamaCon 2025

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Last edited by Saichand Raghupatrini (talk | contribs) 5 days ago. (Update)

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Comment: In accordance with Wikipedia's Conflict of interest policy, I disclose that I have a conflict of interest regarding the subject of this article. Saichand Raghupatrini (talk) 03:51, 16 May 2025 (UTC)

Llama Guard 4 is a 12-billion-parameter, dense multimodal safety model capable of analyzing both text and image inputs. It is designed to detect and filter unsafe content in user prompts and model responses, supporting multiple languages including English, French, German, Hindi, Italian, Portuguese, Spanish, and Thai. LinkedIn +5 Hugging Face +5 Toolify +5 Hugging Face

Key Features:

Multimodal Analysis: Evaluates both text and images to identify inappropriate or harmful content. Hugging Face

Multilingual Support: Trained to recognize unsafe content across various languages, enhancing global applicability.

Integration Capability: Can be incorporated into AI pipelines to assess inputs before they reach the model and to filter outputs before they are presented to users. Hugging Face

Open-Source Availability: Accessible through platforms like Hugging Face, allowing developers to integrate and customize the model as needed.

References

https://huggingface.co/blog/llama-guard-4?utm_source=chatgpt.com

https://www.llama.com/llama-protections/?utm_source=chatgpt.com