Q3 Updates to Organization Card (#8)

- Update README.md (02f24be12a41d233b3c4458607e281affcb2b4f2)

README.md

@@ -40,7 +40,7 @@ On AWS, you can access performant infrastructure, deployment resources, data gov
 
 ## Build and Scale AI/ML on AWS
 
-AWS offers a comprehensive suite of AI/ML tools and services that support every stage of the machine learning lifecycle. From model development and training to deployment and inference, AWS provides cutting-edge solutions such as [Amazon SageMaker AI](https://aws.amazon.com/sagemaker-ai/?trk=8afa3104-517c-4727-9ae4-48fd68084e54&sc_channel=el), a fully-managed service for end-to-end development and deployment of models, [Amazon Bedrock](https://aws.amazon.com/bedrock/?trk=931962ef-ffa0-4c91-b885-9757dab0933e&sc_channel=el) for building and scaling generative AI applications with foundation models — including [AgentCore](https://aws.amazon.com/bedrock/agentcore/?trk=6f74e07c-6ce8-4c86-be06-2f18007b35c6&sc_channel=el) for deploying AI agents securely at scale with purpose-built infrastructure and multi-framework support, custom AI accelerator chips such as [AWS Trainium](https://aws.amazon.com/ai/machine-learning/trainium/?trk=a2d98f03-e332-4006-9724-2bafb15d6927&sc_channel=el) for training and AWS [Inferentia](https://aws.amazon.com/ai/machine-learning/inferentia/?trk=e752ef68-9894-4304-827c-9ac4507dad69&sc_channel=el) for inference, and pre-configured environments to streamline your ML workflows. Additionally, you can explore the [Registry of Open Data](https://registry.opendata.aws/?trk=67465ffe-55fa-4f78-bd9d-5a79ef0717a5&sc_channel=el) to explore and access datasets for your AI/ML projects. Whether you're working on large language models, generative AI, computer vision, time-series forecasting, or natural language processing — scaling your projects on AWS is easy.
+AWS offers a comprehensive suite of AI/ML tools and services that support every stage of the machine learning lifecycle. From model development and training to deployment and inference, AWS provides cutting-edge solutions such as [Amazon SageMaker AI](https://aws.amazon.com/sagemaker-ai/?trk=8afa3104-517c-4727-9ae4-48fd68084e54&sc_channel=el), a fully-managed service for end-to-end development and deployment of models, [Amazon Bedrock](https://aws.amazon.com/bedrock/?trk=931962ef-ffa0-4c91-b885-9757dab0933e&sc_channel=el) for building and scaling generative AI and agentic AI applications with foundation models — including [AgentCore](https://aws.amazon.com/bedrock/agentcore/?trk=6f74e07c-6ce8-4c86-be06-2f18007b35c6&sc_channel=el) for deploying AI agents securely at scale with purpose-built infrastructure and multi-framework support, custom AI accelerator chips such as [AWS Trainium](https://aws.amazon.com/ai/machine-learning/trainium/?trk=a2d98f03-e332-4006-9724-2bafb15d6927&sc_channel=el) for training and AWS [Inferentia](https://aws.amazon.com/ai/machine-learning/inferentia/?trk=e752ef68-9894-4304-827c-9ac4507dad69&sc_channel=el) for inference, and pre-configured environments to streamline your ML workflows. Additionally, you can explore the [Registry of Open Data](https://registry.opendata.aws/?trk=67465ffe-55fa-4f78-bd9d-5a79ef0717a5&sc_channel=el) to explore and access datasets for your AI/ML projects. Whether you're working on large language models, generative AI, computer vision, time-series forecasting, or natural language processing — scaling your projects on AWS is easy.
 
 Learn more about these services and others:
 
@@ -48,7 +48,7 @@ Learn more about these services and others:
 * [AWS Deep Learning AMIs](https://aws.amazon.com/machine-learning/amis/?trk=ebe063f7-8545-4596-86a5-f8e3e4566684&sc_channel=el)
 * [Artificial Intelligence on AWS](https://aws.amazon.com/ai/?trk=1ade1a54-b24c-47b0-9d74-68e75847e0f5&sc_channel=el)
 
-## Building AI Agents with AWS
+## Building AI Agents with Strands Agents SDK
 
 AWS offers Strands Agents, an open source SDK that simplifies the development and deployment of AI agents. Supporting models from Amazon Bedrock, Meta's Llama, and other providers — Strands Agents enables developers to build production ready multi-agent systems with minimal code.
 
@@ -61,9 +61,8 @@ AWS offers Strands Agents, an open source SDK that simplifies the development an
 AWS and Hugging Face are working together to simplify and accelerate the adoption of advanced machine learning models. This [collaboration](https://aws.amazon.com/blogs/machine-learning/aws-and-hugging-face-collaborate-to-make-generative-ai-more-accessible-and-cost-efficient/?trk=7902b1b7-22c0-4841-8f9d-50fa299e5e8a&sc_channel=el) offers streamlined training using Hugging Face Deep Learning Containers with SageMaker AI distributed training libraries, simplifying workflows with the SageMaker AI Python SDK for efficient model training. Deployment is made effortless through the Hugging Face Inference toolkit and DLCs, allowing users to deploy trained models on the Hugging Face Hub. Amazon SageMaker AI facilitates the creation of scalable endpoints with built-in monitoring and enterprise-level security. This joint effort empowers teams to move quickly from experimentation to production, leveraging cutting-edge models and scalable infrastructure to drive innovation in machine learning projects.
 
 * Learn about [Hugging Face on AWS](https://aws.amazon.com/ai/hugging-face/?trk=3983b951-6548-4c2c-bd3c-c0429efec685&sc_channel=el)
-* Learn about [Hugging Face on Amazon SageMaker AI](https://huggingface.co/docs/sagemaker/index?trk=0845611a-5b95-4014-9404-c0a21d198643&sc_channel=el)
 * Reference documentation for [using Hugging Face with Amazon SageMaker AI](https://docs.aws.amazon.com/sagemaker/latest/dg/hugging-face.html?trk=c7f1fa13-419b-4f6b-ae36-3a3f67e5bdff&sc_channel=el)
-* [Community Forum](https://discuss.huggingface.co/c/sagemaker/17) on Hugging Face
+* AWS Whitepaper- [Scale production AI with Hugging Face Optimum Neuron and AWS Trainium and Inferentia](https://huggingface.co/datasets/sanhitsa/AWS-White-Papers-and-Blogs/resolve/main/Whitepaper-Scale-production-AI-with-Hugging-Face-Optimum-Neuron-and-AWS-Trainium-and-Inferentia.pdf?trk=3fa84728-643d-4730-9311-f52272dcff9b&sc_channel=el)
 * [Hugging Face Hub on AWS Marketplace](https://aws.amazon.com/marketplace/pp/prodview-n6vsyhdjkfng2?trk=673da915-f93e-4f2e-9593-6d8c660542f7&sc_channel=el)
 
 ## Connect, Learn, and Grow with AWS
@@ -93,7 +92,8 @@ Stay connected with the latest AWS AI/ML and open source developments:
       <li><svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 512 512" class="icon"><!--!Font Awesome Free 6.7.1 by @fontawesome - https://fontawesome.com License - https://fontawesome.com/license/free Copyright 2024 Fonticons, Inc.--><path fill="currentColor" d="M192 32c0 17.7 14.3 32 32 32c123.7 0 224 100.3 224 224c0 17.7 14.3 32 32 32s32-14.3 32-32C512 128.9 383.1 0 224 0c-17.7 0-32 14.3-32 32zm0 96c0 17.7 14.3 32 32 32c70.7 0 128 57.3 128 128c0 17.7 14.3 32 32 32s32-14.3 32-32c0-106-86-192-192-192c-17.7 0-32 14.3-32 32zM96 144c0-26.5-21.5-48-48-48S0 117.5 0 144L0 368c0 79.5 64.5 144 144 144s144-64.5 144-144s-64.5-144-144-144l-16 0 0 96 16 0c26.5 0 48 21.5 48 48s-21.5 48-48 48s-48-21.5-48-48l0-224z"/></svg><a href="https://aws.amazon.com/blogs/machine-learning/?trk=442f1fed-b69c-4df7-905a-a7a8be74fec7&sc_channel=el">AWS Machine Learning Blog</a></li>
       <li><svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 512 512" class="icon"><!--!Font Awesome Free 6.7.1 by @fontawesome - https://fontawesome.com License - https://fontawesome.com/license/free Copyright 2024 Fonticons, Inc.--><path fill="currentColor" d="M184 0c30.9 0 56 25.1 56 56l0 400c0 30.9-25.1 56-56 56c-28.9 0-52.7-21.9-55.7-50.1c-5.2 1.4-10.7 2.1-16.3 2.1c-35.3 0-64-28.7-64-64c0-7.4 1.3-14.6 3.6-21.2C21.4 367.4 0 338.2 0 304c0-31.9 18.7-59.5 45.8-72.3C37.1 220.8 32 207 32 192c0-30.7 21.6-56.3 50.4-62.6C80.8 123.9 80 118 80 112c0-29.9 20.6-55.1 48.3-62.1C131.3 21.9 155.1 0 184 0zM328 0c28.9 0 52.6 21.9 55.7 49.9c27.8 7 48.3 32.1 48.3 62.1c0 6-.8 11.9-2.4 17.4c28.8 6.2 50.4 31.9 50.4 62.6c0 15-5.1 28.8-13.8 39.7C493.3 244.5 512 272.1 512 304c0 34.2-21.4 63.4-51.6 74.8c2.3 6.6 3.6 13.8 3.6 21.2c0 35.3-28.7 64-64 64c-5.6 0-11.1-.7-16.3-2.1c-3 28.2-26.8 50.1-55.7 50.1c-30.9 0-56-25.1-56-56l0-400c0-30.9 25.1-56 56-56z"/></svg><a href="https://aws.amazon.com/developer/generative-ai/?trk=949e5d26-693d-4219-bc06-662854243c9d&sc_channel=el">Generative AI on AWS</a></li>
       <li><svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 448 512" class="icon"><!--!Font Awesome Free 6.7.1 by @fontawesome - https://fontawesome.com License - https://fontawesome.com/license/free Copyright 2024 Fonticons, Inc.--><path fill="currentColor" d="M448 80l0 48c0 44.2-100.3 80-224 80S0 172.2 0 128L0 80C0 35.8 100.3 0 224 0S448 35.8 448 80zM393.2 214.7c20.8-7.4 39.9-16.9 54.8-28.6L448 288c0 44.2-100.3 80-224 80S0 332.2 0 288L0 186.1c14.9 11.8 34 21.2 54.8 28.6C99.7 230.7 159.5 240 224 240s124.3-9.3 169.2-25.3zM0 346.1c14.9 11.8 34 21.2 54.8 28.6C99.7 390.7 159.5 400 224 400s124.3-9.3 169.2-25.3c20.8-7.4 39.9-16.9 54.8-28.6l0 85.9c0 44.2-100.3 80-224 80S0 476.2 0 432l0-85.9z"/></svg><a href="https://aws.amazon.com/developer/learning/data-ops-ml-on-aws/?trk=8fa9c08c-8f39-4910-9913-59074afb9625&sc_channel=el">Data and Machine Learning on AWS</a></li>
-      <li><svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 640 512" class="icon"><!--!Font Awesome Free 6.7.1 by @fontawesome - https://fontawesome.com License - https://fontawesome.com/license/free Copyright 2024 Fonticons, Inc.--><path fill="currentColor" d="M175 389.4c-9.8 16-15 34.3-15 53.1c-10 3.5-20.8 5.5-32 5.5c-53 0-96-43-96-96L32 64C14.3 64 0 49.7 0 32S14.3 0 32 0L96 0l64 0 64 0c17.7 0 32 14.3 32 32s-14.3 32-32 32l0 245.9-49 79.6zM96 64l0 96 64 0 0-96L96 64zM352 0L480 0l32 0c17.7 0 32 14.3 32 32s-14.3 32-32 32l0 150.9L629.7 406.2c6.7 10.9 10.3 23.5 10.3 36.4c0 38.3-31.1 69.4-69.4 69.4l-309.2 0c-38.3 0-69.4-31.1-69.4-69.4c0-12.8 3.6-25.4 10.3-36.4L320 214.9 320 64c-17.7 0-32-14.3-32-32s14.3-32 32-32l32 0zm32 64l0 160c0 5.9-1.6 11.7-4.7 16.8L330.5 320l171 0-48.8-79.2c-3.1-5-4.7-10.8-4.7-16.8l0-160-64 0z"/></svg><a href="https://aws.amazon.com/ai/learn/machine-learning-specialist/?trk=36edcf21-df13-41bb-b439-4470e02a62ab&sc_channel=el">ML Specialist Training & Resources</a></li>
+      <li><svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 640 512" class="icon"><!--!Font Awesome Free 6.7.1 by @fontawesome - https://fontawesome.com License - https://fontawesome.com/license/free Copyright 2024 Fonticons, Inc.--><path fill="currentColor" d="M175 389.4c-9.8 16-15 34.3-15 53.1c-10 3.5-20.8 5.5-32 5.5c-53 0-96-43-96-96L32 64C14.3 64 0 49.7 0 32S14.3 0 32 0L96 0l64 0 64 0c17.7 0 32 14.3 32 32s-14.3 32-32 32l0 245.9-49 79.6zM96 64l0 96 64 0 0-96L96 64zM352 0L480 0l32 0c17.7 0 32 14.3 32 32s-14.3 32-32 32l0 150.9L629.7 406.2c6.7 10.9 10.3 23.5 10.3 36.4c0 38.3-31.1 69.4-69.4 69.4l-309.2 0c-38.3 0-69.4-31.1-69.4-69.4c0-12.8 3.6-25.4 10.3-36.4L320 214.9 320 64c-17.7 0-32-14.3-32-32s14.3-32 32-32l32 0zm32 64l0 160c0 5.9-1.6 11.7-4.7 16.8L330.5 320l171 0-48.8-79.2c-3.1-5-4.7-10.8-4.7-16.8l0-160-64 0z"/></svg><a href="https://aws.amazon.com/ai/agentic-ai/?trk=320fb2e8-929e-447a-afd4-2c5e84b21d82&sc_channel=el">Agentic AI on AWS</a></li>
+      <li><svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 640 512" class="icon"><!--!Font Awesome Free 6.7.1 by @fontawesome - https://fontawesome.com License - https://fontawesome.com/license/free Copyright 2024 Fonticons, Inc.--><path fill="currentColor" d="M175 389.4c-9.8 16-15 34.3-15 53.1c-10 3.5-20.8 5.5-32 5.5c-53 0-96-43-96-96L32 64C14.3 64 0 49.7 0 32S14.3 0 32 0L96 0l64 0 64 0c17.7 0 32 14.3 32 32s-14.3 32-32 32l0 245.9-49 79.6zM96 64l0 96 64 0 0-96L96 64zM352 0L480 0l32 0c17.7 0 32 14.3 32 32s-14.3 32-32 32l0 150.9L629.7 406.2c6.7 10.9 10.3 23.5 10.3 36.4c0 38.3-31.1 69.4-69.4 69.4l-309.2 0c-38.3 0-69.4-31.1-69.4-69.4c0-12.8 3.6-25.4 10.3-36.4L320 214.9 320 64c-17.7 0-32-14.3-32-32s14.3-32 32-32l32 0zm32 64l0 160c0 5.9-1.6 11.7-4.7 16.8L330.5 320l171 0-48.8-79.2c-3.1-5-4.7-10.8-4.7-16.8l0-160-64 0z"/></svg><a href="https://aws.amazon.com/training/learn-about/ai/?trk=78a4cff6-76de-49c8-8584-7554503f6431&sc_channel=el">New to AI? Start here!</a></li>
     </ul>
   </div>
   <div class="col-span-1 p2">
@@ -112,15 +112,15 @@ Let's innovate together! 🎉🚀
 
  <div class="grid lg:grid-cols-3 gap-x-4 gap-y-2 p2">
   <div class="col-span-1 p2">
-    <a href="https://aws.amazon.com/what-is/agentic-ai/?trk=2034ea47-4ff8-4171-9daf-fe89c7b9bb28&sc_channel=el/">
-      <img class="rotating-content" src="images/thumbnails/Blog1.png" alt="Agentic AI"/>
-      <p>What is Agentic AI?</p>
+    <a href="https://aws.amazon.com/blogs/opensource/strands-agents-and-the-model-driven-approach/?trk=283680be-f10a-4714-bd81-3f15a12e452e&sc_channel=el/">
+      <img class="rotating-content" src="images/thumbnails/Blog2.webp" alt="Strands Agents and the Model-Driven Approach"/>
+      <p>Strands Agents and the Model-Driven Approach</p>
     </a>
   </div>
     <div class="col-span-1 p2">
-      <a href="https://builder.aws.com/content/2xP1AQ52ofPdLawEbDI5EEUhmhH/building-ai-agents-with-strands-part-1-creating-your-first-agent?trk=56788c6e-1d76-4fd8-b10c-b219a8726de3&sc_channel=el/">
-        <img class="rotating-content" src="images/thumbnails/Blog2.webp" alt="Creating Your First Agent"/>
-        <p>Building AI Agents with Strands : Part 1 - Creating Your First Agent</p>
+      <a href="https://aws.amazon.com/blogs/machine-learning/fine-tune-openai-gpt-oss-models-on-amazon-sagemaker-ai-using-hugging-face-libraries/?trk=fb4ed833-e84e-4299-b20e-9a098f7ff151&sc_channel=el/">
+        <img class="rotating-content" src="images/thumbnails/Blog2.webp" alt="Fine-tune OpenAI GPT-OSS models on Amazon SageMaker AI using Hugging Face libraries"/>
+        <p>Fine-tune OpenAI GPT-OSS models on Amazon SageMaker AI using Hugging Face libraries</p>
       </a>
   </div>
   <div class="col-span-1 p2">