Q2 Updates for org card

.gitattributes

@@ -29,4 +29,3 @@ images/thumbnails/Blog[[:space:]]3.png filter=lfs diff=lfs merge=lfs -text
 images/thumbnails/Blog1.png filter=lfs diff=lfs merge=lfs -text
 images/thumbnails/Blog4.jpeg filter=lfs diff=lfs merge=lfs -text
 images/thumbnails/Blog5.png filter=lfs diff=lfs merge=lfs -text
-images/thumbnails/Multi-Agent-City-Information-System-Reference-Architecture-v2.png filter=lfs diff=lfs merge=lfs -text

README.md

@@ -9,10 +9,8 @@ pinned: false
 
 <style>
   img.rotating-content {
-    width: 300px;
-    height: 150px;
-    object-fit:cover;
-    object-position:center;
+    max-height: 150px;
+    width: auto;
   }
   .icon {
     width: 1.5em;
@@ -28,33 +26,27 @@ pinned: false
     padding-left: .5em;
     display: flex;
   }
-  .architectureImage {
-    border: 0.5px solid black;
-  }
 </style>
 <img src="images/logo.png" alt="AWS Banner"/>
 
 _**Innovating with machine learning on AWS**_
 
-On AWS, you can access performant infrastructure, deployment resources, data governance solutions, and [AWS Deep Learning Containers (DLCs)](https://aws.amazon.com/machine-learning/containers/?trk=c3dc34cd-802d-4e58-a828-ab2419db0259&sc_channel=el) with optimized open source frameworks, so that you can focus on your machine learning tasks.
+On AWS, you can access performant infrastructure, deployment resources, data governance solutions, and deep learning containers (DLCs) with optimized open source frameworks, so that you can focus on your machine learning tasks.
 
 ## 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 cater to 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, a fully-managed service for end-to-end development and deployment of models, Amazon Bedrock for building and scaling generative AI applications with foundation models, custom AI accelerator chips such as AWS Trainium for training and AWS Inferentia for inference, and pre-configured environments to streamline your ML workflows. Additionally, you can explore the Registry of Open Data to discover, access, and utilize diverse 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:
 
+* [Amazon SageMaker AI](https://aws.amazon.com/sagemaker-ai/?trk=8afa3104-517c-4727-9ae4-48fd68084e54&sc_channel=el)
+* [Amazon Bedrock](https://aws.amazon.com/bedrock/?trk=931962ef-ffa0-4c91-b885-9757dab0933e&sc_channel=el)
+* [AWS AI Chips](https://aws.amazon.com/ai/machine-learning/trainium/?trk=a2d98f03-e332-4006-9724-2bafb15d6927&sc_channel=el)
 * [AWS GPUs for Machine Learning](https://aws.amazon.com/ec2/instance-types/g4/?trk=5767130d-03c1-443e-908e-5202162d30d3&sc_channel=el)
 * [AWS Deep Learning AMIs](https://aws.amazon.com/machine-learning/amis/?trk=ebe063f7-8545-4596-86a5-f8e3e4566684&sc_channel=el)
+* [AWS Deep Learning Containers (DLCs)](https://aws.amazon.com/machine-learning/containers/?trk=c3dc34cd-802d-4e58-a828-ab2419db0259&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
-
-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.
-
-* [Introduction to Strands Agents Blog](https://aws.amazon.com/blogs/opensource/introducing-strands-agents-an-open-source-ai-agents-sdk/?trk=ffb363e8-9990-44ab-bb07-8f062d904f15&sc_channel=el)
-* [Strands Agents Documentation](https://strandsagents.com/0.1.x/?trk=35e66432-4451-4633-92cc-899637476931&sc_channel=el)
-* [Strands Agents on GitHub](https://github.com/strands-agents?trk=ff3a3fb3-31dd-4ef0-8f8a-540a80d38cf2&sc_channel=el)
+* [Registry of Open Data](https://registry.opendata.aws/?trk=67465ffe-55fa-4f78-bd9d-5a79ef0717a5&sc_channel=el)
 
 ## AWS & Hugging Face Collaboration
 
@@ -64,7 +56,6 @@ AWS and Hugging Face are working together to simplify and accelerate the adoptio
 * 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
-* [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
 
@@ -88,16 +79,23 @@ Stay connected with the latest AWS AI/ML and open source developments:
     </ul>
   </div>
   <div class="col-span-1 p2">
-    <p>AWS Developers</p>
+    <p>AWS Community</p>
     <ul class="social">
       <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="M224 32L64 32C46.3 32 32 46.3 32 64l0 64c0 17.7 14.3 32 32 32l377.4 0c4.2 0 8.3-1.7 11.3-4.7l48-48c6.2-6.2 6.2-16.4 0-22.6l-48-48c-3-3-7.1-4.7-11.3-4.7L288 32c0-17.7-14.3-32-32-32s-32 14.3-32 32zM480 256c0-17.7-14.3-32-32-32l-160 0 0-32-64 0 0 32L70.6 224c-4.2 0-8.3 1.7-11.3 4.7l-48 48c-6.2 6.2-6.2 16.4 0 22.6l48 48c3 3 7.1 4.7 11.3 4.7L448 352c17.7 0 32-14.3 32-32l0-64zM288 480l0-96-64 0 0 96c0 17.7 14.3 32 32 32s32-14.3 32-32z"/></svg><a href="https://community.aws/tags/hugging-face?trk=875acb42-9739-4cb4-9a84-48aba509df42&sc_channel=el">AWS Community Posts about Hugging Face</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="M224 32L64 32C46.3 32 32 46.3 32 64l0 64c0 17.7 14.3 32 32 32l377.4 0c4.2 0 8.3-1.7 11.3-4.7l48-48c6.2-6.2 6.2-16.4 0-22.6l-48-48c-3-3-7.1-4.7-11.3-4.7L288 32c0-17.7-14.3-32-32-32s-32 14.3-32 32zM480 256c0-17.7-14.3-32-32-32l-160 0 0-32-64 0 0 32L70.6 224c-4.2 0-8.3 1.7-11.3 4.7l-48 48c-6.2 6.2-6.2 16.4 0 22.6l48 48c3 3 7.1 4.7 11.3 4.7L448 352c17.7 0 32-14.3 32-32l0-64zM288 480l0-96-64 0 0 96c0 17.7 14.3 32 32 32s32-14.3 32-32z"/></svg><a href="https://community.aws/tags/ai-ml?trk=d05502b2-c45b-4d96-a930-2ba32173e8b7&sc_channel=el">AWS Community Posts about AI/ML</a></li>
+    </ul>
+  </div>
+  <div class="col-span-1 p2">
+    <p>AWS Developers</p>
+    <ul class="social">
       <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>
     </ul>
   </div>
-  <div class="col-span-1 p2">
-    <p>Amazon-run organizations on Hugging Face</p>
+  <div class="col-span-2 p2">
+    <p>Check out these other Amazon-run Hugging Face organizations</p>
     <ul class="social">
       <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="M208.5 62.3l28.1-36.9C248.8 9.4 267.8 0 288 0c28.5 0 53.6 18.7 61.8 46l17.8 59.4c10.3 34.4 36.1 62 69.8 74.6l39.8 14.9c20.9 7.9 34.8 27.9 34.8 50.2c0 16.9-7.9 32.8-21.5 42.9l-67.3 50.5c-24.3 18.2-37.2 47.9-33.8 78.1l2.5 22.7c4.3 38.7-26 72.6-65 72.6c-14.8 0-29.3-5.1-40.8-14.3l-55.4-44.3c-4.5-3.6-9.3-6.7-14.5-9.2c-15.8-7.9-33.7-10.4-51-7.3L82.4 451.9C47.8 458.2 16 431.6 16 396.5c0-13.2 4.7-26 13.1-36.2l11.2-13.4c14.6-17.4 22.6-39.4 22.6-62.1c0-18.8-5.5-37.2-15.8-53L8.8 173.5C3.1 164.7 0 154.4 0 143.9c0-33.4 30.1-58.8 63-53.2l51.3 8.7c35.9 6.1 72.2-8.2 94.2-37.1z"/></svg><a href="https://huggingface.co/autogluon">AutoGluon</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="M176 24c0-13.3-10.7-24-24-24s-24 10.7-24 24l0 40c-35.3 0-64 28.7-64 64l-40 0c-13.3 0-24 10.7-24 24s10.7 24 24 24l40 0 0 56-40 0c-13.3 0-24 10.7-24 24s10.7 24 24 24l40 0 0 56-40 0c-13.3 0-24 10.7-24 24s10.7 24 24 24l40 0c0 35.3 28.7 64 64 64l0 40c0 13.3 10.7 24 24 24s24-10.7 24-24l0-40 56 0 0 40c0 13.3 10.7 24 24 24s24-10.7 24-24l0-40 56 0 0 40c0 13.3 10.7 24 24 24s24-10.7 24-24l0-40c35.3 0 64-28.7 64-64l40 0c13.3 0 24-10.7 24-24s-10.7-24-24-24l-40 0 0-56 40 0c13.3 0 24-10.7 24-24s-10.7-24-24-24l-40 0 0-56 40 0c13.3 0 24-10.7 24-24s-10.7-24-24-24l-40 0c0-35.3-28.7-64-64-64l0-40c0-13.3-10.7-24-24-24s-24 10.7-24 24l0 40-56 0 0-40c0-13.3-10.7-24-24-24s-24 10.7-24 24l0 40-56 0 0-40zM160 128l192 0c17.7 0 32 14.3 32 32l0 192c0 17.7-14.3 32-32 32l-192 0c-17.7 0-32-14.3-32-32l0-192c0-17.7 14.3-32 32-32zm192 32l-192 0 0 192 192 0 0-192z"/></svg><a href="https://huggingface.co/aws-neuron">AWS Inferentia and Trainium</a></li>
@@ -110,29 +108,23 @@ Let's innovate together! 🎉🚀
 
 ---
 
- <div class="grid lg:grid-cols-3 gap-x-4 gap-y-2 p2">
+<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/machine-learning/llm-experimentation-at-scale-using-amazon-sagemaker-pipelines-and-mlflow/">
+      <img class="rotating-content" src="images/thumbnails/ml-llm-selection.png" alt="LLM evaluation and selection journey"/>
+      <p>LLM experimentation at scale using Amazon SageMaker Pipelines and MLflow</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>
-  </div>
-  <div class="col-span-1 p2">
-      <a href="https://aws.amazon.com/blogs/devops/amazon-q-developer-agentic-coding-experience/?trk=1ec8dbec-8c75-401f-8a66-293bf93a1e4a&sc_channel=el/">
-        <img class="rotating-content" src="images/thumbnails/Blog5.png" alt="Intelligent Code at your Fingertips"/>
-        <p>Intelligent Code at your Fingertips: Introducing an agentic coding experience in your IDE</p>
+      <a href="https://aws.amazon.com/blogs/machine-learning/build-a-hugging-face-text-classification-model-in-amazon-sagemaker-jumpstart/">
+        <img class="rotating-content" src="images/thumbnails/hugging-face-classifier.jpg" alt="Image share card for blog post"/>
+        <p>Build a Hugging Face text classification model in Amazon SageMaker JumpStart</p>
       </a>
   </div>
     <div class="col-span-1 p2">
-      <a href="https://aws.amazon.com/blogs/machine-learning/build-a-multi-agent-system-with-langgraph-and-mistral-on-aws/?trk=95afde2c-5d6f-43ad-856b-77dca9831cd9&sc_channel=el/">
-        <img class="rotating-content architectureImage" src="images/thumbnails/Multi-Agent-City-Information-System-Reference-Architecture-v2.png" alt="Build a Multi-Agent System"/>
-        <p>Build a Multi-Agent System with LangGraph and Mistral on AWS</p>
+      <a href="https://aws.amazon.com/blogs/machine-learning/inference-audiocraft-musicgen-models-using-amazon-sagemaker/">
+        <img class="rotating-content" src="images/thumbnails/ml-musicgen-sagemaker.png" alt="MusicGen on Amazon SageMaker Asynchronous Inference"/>
+        <p>Inference AudioCraft MusicGen models using Amazon SageMaker</p>
       </a>
   </div>
-</div>
+</div>