updates

Author: LinuxAzzamean

_community_stories/56.md

@@ -1,7 +1,7 @@
 ---
 title: 'How Intel Uses PyTorch to Empower Generative AI through Intel Arc GPUs'
 ext_url: /blog/how-intel-uses-pytorch-to-empower-generative-ai-through-intel-arc-gpus/
-date: Jan 23, 2025
+date: Jan 24, 2025
 tags: ["Gaming"]
 ---
 Intel has long been at the forefront of technological innovation, and its recent venture into Generative AI (GenAI) solutions is no exception. With the rise of AI-powered gaming experiences, Intel sought to deliver an accessible and intuitive GenAI inferencing solution tailored for AI PCs powered by Intel’s latest GPUs. By leveraging PyTorch as the backbone for development efforts, Intel successfully launched AI Playground, an open source application that showcases advanced GenAI workloads.

_posts/2025-01-23-how-intel-uses-pytorch-to-empower-generative-ai-through-intel-arc-gpus.md renamed to _posts/2025-01-24-how-intel-uses-pytorch-to-empower-generative-ai-through-intel-arc-gpus.md

@@ -8,7 +8,7 @@ Intel has long been at the forefront of technological innovation, and its recent
 
 **The Business Challenge**
 
-Our goal was to deliver an accessible and intuitive Generative AI (GenAI) inferencing solution tailored for AI PCs powered by Intel. We recognized the need to showcase the capabilities of the latest GenAI workloads on our newest line of client GPUs. To address this, we developed a starter application, [AI Playground](https://github.com/intel/ai-playground), which is open source and includes a comprehensive developer reference sample available on GitHub using PyTorch. This application seamlessly integrates image generation, image enhancement, and chatbot functionalities, using retrieval-augmented generation (RAG) features, all within a single, user-friendly installation package. This initiative not only demonstrates the functionality of these AI workloads but also serves as an educational resource for the ecosystem, guiding developers on effectively leveraging the [Intel® Arc™ GPU](https://www.intel.com/content/www/us/en/products/details/discrete-gpus/arc.html) product line for advanced AI applications. This solution leverages Intel® Arc™ Xe Cores and [Xe Matrix Extensions (XMX)](https://www.intel.com/content/www/us/en/support/articles/000091112/graphics.html) for accelerating inferencing.
+Our goal was to deliver an accessible and intuitive GenAI inferencing solution tailored for AI PCs powered by Intel. We recognized the need to showcase the capabilities of the latest GenAI workloads on our newest line of client GPUs. To address this, we developed a starter application, [AI Playground](https://github.com/intel/ai-playground), which is open source and includes a comprehensive developer reference sample available on GitHub using PyTorch. This application seamlessly integrates image generation, image enhancement, and chatbot functionalities, using retrieval-augmented generation (RAG) features, all within a single, user-friendly installation package. This initiative not only demonstrates the functionality of these AI workloads but also serves as an educational resource for the ecosystem, guiding developers on effectively leveraging the [Intel® Arc™ GPU](https://www.intel.com/content/www/us/en/products/details/discrete-gpus/arc.html) product line for advanced AI applications. This solution leverages Intel® Arc™ Xe Cores and [Xe Matrix Extensions (XMX)](https://www.intel.com/content/www/us/en/support/articles/000091112/graphics.html) for accelerating inferencing.
 
 ![AI Playground](/assets/images/intel-case-study/fg1.png){:style="width:100%"}
 
@@ -22,7 +22,7 @@ PyTorch has been instrumental in addressing our AI challenges by providing a rob
 
 **A Word from Intel**
 
-*With PyTorch as the backbone of our AI Playground project, we achieved rapid development cycles that significantly accelerated our time to market. This flexibility enabled us to iteratively enhance features and effectively align with the commitments of our upcoming hardware launches in 2024\.*
+*With PyTorch as the backbone of our AI Playground project, we achieved rapid development cycles that significantly accelerated our time to market. This flexibility enabled us to iteratively enhance features and effectively align with the commitments of our hardware launches in 2024\.*
 
 *\-Bob Duffy, AI Playground Product Manager*