<?xml version="1.0" encoding="UTF-8"?><rss version="2.0"
	xmlns:content="http://purl.org/rss/1.0/modules/content/"
	xmlns:wfw="http://wellformedweb.org/CommentAPI/"
	xmlns:dc="http://purl.org/dc/elements/1.1/"
	xmlns:atom="http://www.w3.org/2005/Atom"
	xmlns:sy="http://purl.org/rss/1.0/modules/syndication/"
	xmlns:slash="http://purl.org/rss/1.0/modules/slash/"
	>

<channel>
	<title>Amazon SageMaker AI &#8211; Noise</title>
	<atom:link href="https://noise.getoto.net/tag/amazon-sagemaker-ai/feed/" rel="self" type="application/rss+xml" />
	<link>https://noise.getoto.net</link>
	<description>The collective thoughts of the interwebz</description>
	<lastBuildDate>Wed, 03 Dec 2025 16:08:03 +0000</lastBuildDate>
	<language>en-US</language>
	<sy:updatePeriod>
	hourly	</sy:updatePeriod>
	<sy:updateFrequency>
	1	</sy:updateFrequency>
	<generator>https://wordpress.org/?v=6.8.2</generator>
	<item>
		<title>New serverless customization in Amazon SageMaker AI accelerates model fine-tuning</title>
		<link>https://noise.getoto.net/2025/12/03/new-serverless-customization-in-amazon-sagemaker-ai-accelerates-model-fine-tuning/</link>
		
		<dc:creator><![CDATA[Channy Yun (윤석찬)]]></dc:creator>
		<pubDate>Wed, 03 Dec 2025 16:08:03 +0000</pubDate>
				<category><![CDATA[Amazon SageMaker AI]]></category>
		<category><![CDATA[artificial intelligence]]></category>
		<category><![CDATA[AWS re:Invent]]></category>
		<category><![CDATA[launch]]></category>
		<category><![CDATA[news]]></category>
		<guid isPermaLink="false">http://noise.getoto.net/?guid=c79b10f9a7159f582f31de85e547b1bd</guid>

					<description><![CDATA[Accelerate AI model development with new training features that enable rapid recovery from failures and automatic scaling based on resource availability.]]></description>
		
		
		<enclosure url="" length="0" type="" />

			</item>
		<item>
		<title>Introducing Amazon Nova Forge: Build your own frontier models using Nova</title>
		<link>https://noise.getoto.net/2025/12/02/introducing-amazon-nova-forge-build-your-own-frontier-models-using-nova/</link>
		
		<dc:creator><![CDATA[Danilo Poccia]]></dc:creator>
		<pubDate>Tue, 02 Dec 2025 15:53:51 +0000</pubDate>
				<category><![CDATA[Amazon Bedrock]]></category>
		<category><![CDATA[Amazon Machine Learning]]></category>
		<category><![CDATA[Amazon Nova]]></category>
		<category><![CDATA[Amazon SageMaker AI]]></category>
		<category><![CDATA[Amazon SageMaker HyperPod]]></category>
		<category><![CDATA[announcements]]></category>
		<category><![CDATA[artificial intelligence]]></category>
		<category><![CDATA[generative AI]]></category>
		<guid isPermaLink="false">http://noise.getoto.net/?guid=bc1a705dd9baf97d18c6a6838de5822d</guid>

					<description><![CDATA[New program gives organizations unprecedented access to Nova model training, enabling them to build custom frontier models that deeply embed domain expertise without the traditional barriers of cost, compute, and time.]]></description>
		
		
		<enclosure url="" length="0" type="" />

			</item>
		<item>
		<title>Accelerate your data and AI workflows by connecting to Amazon SageMaker Unified Studio from Visual Studio Code</title>
		<link>https://noise.getoto.net/2025/09/12/accelerate-your-data-and-ai-workflows-by-connecting-to-amazon-sagemaker-unified-studio-from-visual-studio-code/</link>
		
		<dc:creator><![CDATA[Lauren Mullennex]]></dc:creator>
		<pubDate>Fri, 12 Sep 2025 15:59:57 +0000</pubDate>
				<category><![CDATA[Amazon SageMaker AI]]></category>
		<category><![CDATA[Amazon SageMaker Unified Studio]]></category>
		<category><![CDATA[announcements]]></category>
		<category><![CDATA[Intermediate (200)]]></category>
		<category><![CDATA[Technical How-to]]></category>
		<guid isPermaLink="false">http://noise.getoto.net/?guid=9132bc8227a3f48113fd99e5407db856</guid>

					<description><![CDATA[In this post, we demonstrate how to connect your local VS Code to SageMaker Unified Studio so you can build complete end-to-end data and AI workflows while working in your preferred development environment.]]></description>
		
		
		<enclosure url="" length="0" type="" />

			</item>
		<item>
		<title>AWS Weekly Roundup: Single GPU P5 instances, Advanced Go Driver, Amazon SageMaker HyperPod and more (August 18, 2025)</title>
		<link>https://noise.getoto.net/2025/08/18/aws-weekly-roundup-single-gpu-p5-instances-advanced-go-driver-amazon-sagemaker-hyperpod-and-more-august-18-2025/</link>
		
		<dc:creator><![CDATA[Prasad Rao]]></dc:creator>
		<pubDate>Mon, 18 Aug 2025 15:39:10 +0000</pubDate>
				<category><![CDATA[Amazon Aurora]]></category>
		<category><![CDATA[Amazon Bedrock]]></category>
		<category><![CDATA[Amazon EC2]]></category>
		<category><![CDATA[Amazon Elastic Kubernetes Service]]></category>
		<category><![CDATA[Amazon SageMaker AI]]></category>
		<category><![CDATA[Amazon SageMaker HyperPod]]></category>
		<category><![CDATA[launch]]></category>
		<category><![CDATA[news]]></category>
		<category><![CDATA[Week in Review]]></category>
		<guid isPermaLink="false">http://noise.getoto.net/?guid=f2a61f7f7c8873f0308fa9efba47d15b</guid>

					<description><![CDATA[Let me start this week’s update with something I’m especially excited about – the upcoming BeSA (Become a Solutions Architect) cohort. BeSA is a free mentoring program that I host along with a few other AWS employees on a volunteer basis to help people excel in their cloud careers. Last week, the instructors’ lineup was […]]]></description>
		
		
		<enclosure url="" length="0" type="" />

			</item>
		<item>
		<title>AWS AI League: Learn, innovate, and compete in our new ultimate AI showdown</title>
		<link>https://noise.getoto.net/2025/07/17/aws-ai-league-learn-innovate-and-compete-in-our-new-ultimate-ai-showdown/</link>
		
		<dc:creator><![CDATA[Elizabeth Fuentes]]></dc:creator>
		<pubDate>Thu, 17 Jul 2025 17:13:52 +0000</pubDate>
				<category><![CDATA[Amazon Bedrock]]></category>
		<category><![CDATA[Amazon SageMaker AI]]></category>
		<category><![CDATA[Amazon SageMaker Unified Studio]]></category>
		<category><![CDATA[announcements]]></category>
		<category><![CDATA[AWS Summit New York]]></category>
		<category><![CDATA[generative AI]]></category>
		<category><![CDATA[launch]]></category>
		<category><![CDATA[news]]></category>
		<guid isPermaLink="false">http://noise.getoto.net/?guid=edf504582dad124858bd267724872fa1</guid>

					<description><![CDATA[AWS AI league is a program that helps organizations upskill their workforce by combining fun competition with hands-on learning using AWS AI services. It offers a unique opportunity for both enterprises and developers to gain valuable and practical skills in fine-tuning, model customization, and prompt engineering - essential skills for building generative AI solutions.]]></description>
		
		
		<enclosure url="" length="0" type="" />

			</item>
		<item>
		<title>Announcing Amazon Nova customization in Amazon SageMaker AI</title>
		<link>https://noise.getoto.net/2025/07/16/announcing-amazon-nova-customization-in-amazon-sagemaker-ai/</link>
		
		<dc:creator><![CDATA[Betty Zheng (郑予彬)]]></dc:creator>
		<pubDate>Wed, 16 Jul 2025 15:11:39 +0000</pubDate>
				<category><![CDATA[Amazon Nova]]></category>
		<category><![CDATA[Amazon Sagemaker]]></category>
		<category><![CDATA[Amazon SageMaker AI]]></category>
		<category><![CDATA[Amazon SageMaker HyperPod]]></category>
		<category><![CDATA[announcements]]></category>
		<category><![CDATA[AWS Summit New York]]></category>
		<category><![CDATA[generative AI]]></category>
		<category><![CDATA[launch]]></category>
		<category><![CDATA[news]]></category>
		<guid isPermaLink="false">http://noise.getoto.net/?guid=83fe02573155d803df9bdc57291f77ca</guid>

					<description><![CDATA[AWS now enables extensive customization of Amazon Nova foundation models through SageMaker AI with techniques including continued pre-training, supervised fine-tuning, direct preference optimization, reinforcement learning from human feedback and model distillation to better address domain-specific requirements across industries.]]></description>
		
		
		<enclosure url="" length="0" type="" />

			</item>
		<item>
		<title>Optimizing fleet operations using Amazon SageMaker AI and Amazon Bedrock</title>
		<link>https://noise.getoto.net/2025/05/28/optimizing-fleet-operations-using-amazon-sagemaker-ai-and-amazon-bedrock/</link>
		
		<dc:creator><![CDATA[Manny Sidhu]]></dc:creator>
		<pubDate>Wed, 28 May 2025 18:29:26 +0000</pubDate>
				<category><![CDATA[Amazon Bedrock]]></category>
		<category><![CDATA[Amazon SageMaker AI]]></category>
		<category><![CDATA[Architecture]]></category>
		<category><![CDATA[AWS IoT Greengrass]]></category>
		<category><![CDATA[generative AI]]></category>
		<category><![CDATA[Intermediate (200)]]></category>
		<guid isPermaLink="false">http://noise.getoto.net/?guid=1be99ddcaceddd358d29181760bded2d</guid>

					<description><![CDATA[In this post, we'll explore how to maximize the value of dashcam footage through best practices for implementing and managing Computer Vision systems in commercial fleet operations. We'll demonstrate how to build and deploy edge-based machine learning models that provide real-time alerts for distracted driving behaviors, while effectively collecting, processing, and analyzing footage to train these AI models.]]></description>
		
		
		<enclosure url="" length="0" type="" />

			</item>
		<item>
		<title>DeepSeek-R1 models now available on AWS</title>
		<link>https://noise.getoto.net/2025/01/31/deepseek-r1-models-now-available-on-aws/</link>
		
		<dc:creator><![CDATA[Channy Yun (윤석찬)]]></dc:creator>
		<pubDate>Fri, 31 Jan 2025 00:00:40 +0000</pubDate>
				<category><![CDATA[Amazon Bedrock]]></category>
		<category><![CDATA[Amazon Machine Learning]]></category>
		<category><![CDATA[Amazon Sagemaker]]></category>
		<category><![CDATA[Amazon SageMaker AI]]></category>
		<category><![CDATA[announcements]]></category>
		<category><![CDATA[artificial intelligence]]></category>
		<category><![CDATA[Featured]]></category>
		<category><![CDATA[launch]]></category>
		<category><![CDATA[news]]></category>
		<guid isPermaLink="false">http://noise.getoto.net/?guid=e56efe208c63a65c674f4265925b6036</guid>

					<description><![CDATA[DeepSeek-R1, a powerful large language model featuring reinforcement learning and chain-of-thought capabilities, is now available for deployment through Amazon SageMaker JumpStart and Amazon Bedrock Marketplace, enabling users to build and scale their generative AI applications with minimal infrastructure investment to meet diverse business needs.]]></description>
		
		
		<enclosure url="" length="0" type="" />

			</item>
	</channel>
</rss>

<!--
Performance optimized by W3 Total Cache. Learn more: https://www.boldgrid.com/w3-total-cache/

Object Caching 52/172 objects using Memcached
Page Caching using Disk: Enhanced 
Lazy Loading (feed)
Database Caching using Memcached

Served from: noise.getoto.net @ 2025-12-10 09:59:49 by W3 Total Cache
-->