From d85ec0947c6ec282cd2b94bd839cc08423cb253a Mon Sep 17 00:00:00 2001 From: Malini Bhandaru Date: Wed, 18 Sep 2024 18:27:01 -0700 Subject: [PATCH] Remove marketing materials (#837) Signed-off-by: Malini Bhandaru --- VisualQnA/README.md | 4 +--- 1 file changed, 1 insertion(+), 3 deletions(-) diff --git a/VisualQnA/README.md b/VisualQnA/README.md index d5f5c646b..99cdb26a2 100644 --- a/VisualQnA/README.md +++ b/VisualQnA/README.md @@ -13,9 +13,7 @@ General architecture of VQA shows below: ![VQA](./assets/img/vqa.png) -This example guides you through how to deploy a [LLaVA-NeXT](https://github.com/LLaVA-VL/LLaVA-NeXT) (Open Large Multimodal Models) model [Intel Gaudi2](https://www.intel.com/content/www/us/en/products/details/processors/ai-accelerators/gaudi-overview.html) and [Intel Xeon Scalable Processors](https://www.intel.com/content/www/us/en/products/details/processors/xeon.html). We invite contributions from other hardware vendors to expand OPEA ecosystem. - -The Intel Gaudi2 accelerator supports both training and inference for deep learning models in particular for LLMs. Visit [Habana AI products](https://habana.ai/products) for more details. +This example guides you through how to deploy a [LLaVA-NeXT](https://github.com/LLaVA-VL/LLaVA-NeXT) (Open Large Multimodal Models) model on [Intel Gaudi2](https://www.intel.com/content/www/us/en/products/details/processors/ai-accelerators/gaudi-overview.html) and [Intel Xeon Scalable Processors](https://www.intel.com/content/www/us/en/products/details/processors/xeon.html). We invite contributions from other hardware vendors to expand the OPEA ecosystem. ![llava screenshot](./assets/img/llava_screenshot1.png) ![llava-screenshot](./assets/img/llava_screenshot2.png)