From ffa290806a53a89551e186a1f5bb1a24cb7ff85f Mon Sep 17 00:00:00 2001 From: Javier Luraschi Date: Fri, 29 Nov 2024 19:55:43 -0800 Subject: [PATCH] [website] add social image to latest blog --- website/blog/2024-11-27-using-NVIDIA-NIM/nvidia_nim.md | 8 ++++++-- 1 file changed, 6 insertions(+), 2 deletions(-) diff --git a/website/blog/2024-11-27-using-NVIDIA-NIM/nvidia_nim.md b/website/blog/2024-11-27-using-NVIDIA-NIM/nvidia_nim.md index e35e8eff..f7aed135 100644 --- a/website/blog/2024-11-27-using-NVIDIA-NIM/nvidia_nim.md +++ b/website/blog/2024-11-27-using-NVIDIA-NIM/nvidia_nim.md @@ -1,10 +1,14 @@ --- -slug: NVIDIA-NIM +slug: nvidia-nim title: "Using NVIDIA NIM to Spot AI-Generated Images" authors: [diego] -tags: [Generative AI, NVIDIA NIM, AI Detection] +tags: [NVIDIA, NIM, AI Detection] --- + + + + import ThemedImage from '../../src/components/themedimg.jsx' AI-generated images are proliferating across the internet, manifesting in various forms of art, brand representation, and even fake news. These images, created using sophisticated machine learning algorithms, often blur the lines between authentic and artificial content, presenting themselves as both opportunities and challenges. To overcome these challenges, tools designed to identify AI-generated images, such as some available at [NVIDIA NIM](https://developer.nvidia.com/nim), are becoming increasingly vital for both businesses and individuals.