Draft:LlamaCon 2025

Submission declined on 31 May 2025 by Gobonobo (talk).

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Declined by Gobonobo 25 hours ago. Last edited by Gobonobo 25 hours ago. Reviewer: Inform author.

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Submission declined on 21 May 2025 by Twistedmath (talk).

Your draft shows signs of having been generated by a large language model, such as ChatGPT. Their outputs usually have multiple issues that prevent them from meeting our guidelines on writing articles. These include:

Promotional tone, editorializing and other words to watch
Vague, generic, and speculative statements extrapolated from similar subjects
Essay-like writing
Hallucinations (plausible-sounding, but false information) and non-existent references
Close paraphrasing

Please address these issues. The best way to do it is usually to read reliable sources and summarize them, instead of using a large language model. See our help page on large language models.

Declined by Twistedmath 10 days ago.

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