Remove marketing materials (#837)

Signed-off-by: Malini Bhandaru <malini.bhandaru@intel.com>

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)