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	<title>Amazon Machine Learning &#8211; Noise</title>
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		<title>Amazon Bedrock adds reinforcement ﬁne-tuning simplifying how developers build smarter, more accurate AI models</title>
		<link>https://noise.getoto.net/2025/12/03/amazon-bedrock-adds-reinforcement-%ef%ac%81ne-tuning-simplifying-how-developers-build-smarter-more-accurate-ai-models/</link>
		
		<dc:creator><![CDATA[Donnie Prakoso]]></dc:creator>
		<pubDate>Wed, 03 Dec 2025 16:08:14 +0000</pubDate>
				<category><![CDATA[Amazon Bedrock]]></category>
		<category><![CDATA[Amazon Machine Learning]]></category>
		<category><![CDATA[announcements]]></category>
		<category><![CDATA[artificial intelligence]]></category>
		<category><![CDATA[AWS re:Invent]]></category>
		<category><![CDATA[Events]]></category>
		<category><![CDATA[launch]]></category>
		<category><![CDATA[news]]></category>
		<category><![CDATA[serverless]]></category>
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					<description><![CDATA[Amazon Bedrock now supports reinforcement fine-tuning delivering 66% accuracy gains on average over base models.]]></description>
		
		
		<enclosure url="" length="0" type="" />

			</item>
		<item>
		<title>Amazon Bedrock AgentCore adds quality evaluations and policy controls for deploying trusted AI agents</title>
		<link>https://noise.getoto.net/2025/12/02/amazon-bedrock-agentcore-adds-quality-evaluations-and-policy-controls-for-deploying-trusted-ai-agents/</link>
		
		<dc:creator><![CDATA[Danilo Poccia]]></dc:creator>
		<pubDate>Tue, 02 Dec 2025 16:14:36 +0000</pubDate>
				<category><![CDATA[Amazon Bedrock]]></category>
		<category><![CDATA[Amazon Machine Learning]]></category>
		<category><![CDATA[announcements]]></category>
		<category><![CDATA[artificial intelligence]]></category>
		<category><![CDATA[AWS re:Invent]]></category>
		<category><![CDATA[generative AI]]></category>
		<category><![CDATA[launch]]></category>
		<category><![CDATA[news]]></category>
		<guid isPermaLink="false">http://noise.getoto.net/?guid=4e913cfb5815c0d28b00c53e49f37b13</guid>

					<description><![CDATA[Deploy AI agents with confidence using new quality evaluations and policy controls—enabling precise boundaries on agent actions, continuous quality monitoring, and experience-based learning while maintaining natural conversation flows.]]></description>
		
		
		<enclosure url="" length="0" type="" />

			</item>
		<item>
		<title>Amazon Bedrock adds 18 fully managed open weight models, including the new Mistral Large 3 and Ministral 3 models</title>
		<link>https://noise.getoto.net/2025/12/02/amazon-bedrock-adds-18-fully-managed-open-weight-models-including-the-new-mistral-large-3-and-ministral-3-models/</link>
		
		<dc:creator><![CDATA[Channy Yun (윤석찬)]]></dc:creator>
		<pubDate>Tue, 02 Dec 2025 16:05:57 +0000</pubDate>
				<category><![CDATA[Amazon Bedrock]]></category>
		<category><![CDATA[Amazon Machine Learning]]></category>
		<category><![CDATA[artificial intelligence]]></category>
		<category><![CDATA[AWS re:Invent]]></category>
		<category><![CDATA[launch]]></category>
		<category><![CDATA[news]]></category>
		<category><![CDATA[serverless]]></category>
		<guid isPermaLink="false">http://noise.getoto.net/?guid=2b515617d9a2b23c8049c37e0042f80c</guid>

					<description><![CDATA[Access fully managed foundation models from leading providers like Google, Kimi AI, MiniMax AI, Mistral AI, NVIDIA, OpenAI, and Qwen, including the new Mistral Large 3 and Ministral 3 3B, 8B, and 14B models through Amazon Bedrock.]]></description>
		
		
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			</item>
		<item>
		<title>Introducing Amazon Nova 2 Lite, a fast, cost-effective reasoning model</title>
		<link>https://noise.getoto.net/2025/12/02/introducing-amazon-nova-2-lite-a-fast-cost-effective-reasoning-model/</link>
		
		<dc:creator><![CDATA[Danilo Poccia]]></dc:creator>
		<pubDate>Tue, 02 Dec 2025 15:59:40 +0000</pubDate>
				<category><![CDATA[Amazon Bedrock]]></category>
		<category><![CDATA[Amazon Machine Learning]]></category>
		<category><![CDATA[Amazon Nova]]></category>
		<category><![CDATA[announcements]]></category>
		<category><![CDATA[artificial intelligence]]></category>
		<category><![CDATA[AWS re:Invent]]></category>
		<category><![CDATA[foundation-models]]></category>
		<category><![CDATA[generative AI]]></category>
		<category><![CDATA[launch]]></category>
		<category><![CDATA[news]]></category>
		<guid isPermaLink="false">http://noise.getoto.net/?guid=743995aa5b1bf5fac05ec98048fed9b9</guid>

					<description><![CDATA[New fast, cost-effective model supports extended thinking with adjustable reasoning depth, letting you control the balance between speed, intelligence, and cost while building AI applications for everyday workloads.]]></description>
		
		
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		<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>
		
		
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		<item>
		<title>Building with AI-DLC using Amazon Q Developer</title>
		<link>https://noise.getoto.net/2025/11/29/building-with-ai-dlc-using-amazon-q-developer/</link>
		
		<dc:creator><![CDATA[Will Matos]]></dc:creator>
		<pubDate>Sat, 29 Nov 2025 21:07:21 +0000</pubDate>
				<category><![CDATA[Amazon Machine Learning]]></category>
		<category><![CDATA[Amazon Q]]></category>
		<category><![CDATA[Amazon Q Developer]]></category>
		<category><![CDATA[artificial intelligence]]></category>
		<category><![CDATA[Best practices]]></category>
		<category><![CDATA[Developer Tools]]></category>
		<category><![CDATA[software]]></category>
		<guid isPermaLink="false">http://noise.getoto.net/?guid=13de378f6995858a80080c7e976e067c</guid>

					<description><![CDATA[The AI-Driven Development Life Cycle (AI-DLC) methodology marks a significant change in software development by strategically assigning routine tasks to AI while maintaining human oversight for critical decisions. Amazon Q Developer, a generative AI coding assistant, supports the entire software development lifecycle and offers the Project Rules feature, allowing users to tailor their development practices […]]]></description>
		
		
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		<item>
		<title>Announcing the updated AWS Well-Architected Machine Learning Lens</title>
		<link>https://noise.getoto.net/2025/11/19/announcing-the-updated-aws-well-architected-machine-learning-lens/</link>
		
		<dc:creator><![CDATA[Steven DeVries]]></dc:creator>
		<pubDate>Wed, 19 Nov 2025 17:09:38 +0000</pubDate>
				<category><![CDATA[Amazon Machine Learning]]></category>
		<category><![CDATA[announcements]]></category>
		<category><![CDATA[AWS Well-Architected]]></category>
		<guid isPermaLink="false">http://noise.getoto.net/?guid=7845336aa171f740855286698d941d11</guid>

					<description><![CDATA[We are excited to announce the updated AWS Well-Architected Machine Learning Lens, now enhanced with the latest capabilities and best practices for building machine learning (ML) workloads on AWS.]]></description>
		
		
		<enclosure url="" length="0" type="" />

			</item>
		<item>
		<title>Architecting for AI excellence: AWS launches three Well-Architected Lenses at re:Invent 2025</title>
		<link>https://noise.getoto.net/2025/11/19/architecting-for-ai-excellence-aws-launches-three-well-architected-lenses-at-reinvent-2025/</link>
		
		<dc:creator><![CDATA[Anitha Selvan]]></dc:creator>
		<pubDate>Wed, 19 Nov 2025 17:09:28 +0000</pubDate>
				<category><![CDATA[Amazon Machine Learning]]></category>
		<category><![CDATA[announcements]]></category>
		<category><![CDATA[artificial intelligence]]></category>
		<category><![CDATA[AWS Well-Architected]]></category>
		<category><![CDATA[generative AI]]></category>
		<guid isPermaLink="false">http://noise.getoto.net/?guid=e44ddcc7e4f395f395112a3cf4f072d5</guid>

					<description><![CDATA[At re:Invent 2025, we introduce one new lens and two significant updates to the AWS Well-Architected Lenses specifically focused on AI workloads: the Responsible AI Lens, the Machine Learning (ML) Lens, and the Generative AI Lens. Together, these lenses provide comprehensive guidance for organizations at different stages of their AI journey, whether you're just starting to experiment with machine learning or already deploying complex AI applications at scale.]]></description>
		
		
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			</item>
		<item>
		<title>Amazon Nova Multimodal Embeddings: State-of-the-art embedding model for agentic RAG and semantic search</title>
		<link>https://noise.getoto.net/2025/10/28/amazon-nova-multimodal-embeddings-state-of-the-art-embedding-model-for-agentic-rag-and-semantic-search/</link>
		
		<dc:creator><![CDATA[Danilo Poccia]]></dc:creator>
		<pubDate>Tue, 28 Oct 2025 15:12:38 +0000</pubDate>
				<category><![CDATA[*Post Types]]></category>
		<category><![CDATA[Amazon Bedrock]]></category>
		<category><![CDATA[Amazon Machine Learning]]></category>
		<category><![CDATA[announcements]]></category>
		<category><![CDATA[artificial intelligence]]></category>
		<category><![CDATA[generative AI]]></category>
		<category><![CDATA[launch]]></category>
		<category><![CDATA[news]]></category>
		<guid isPermaLink="false">http://noise.getoto.net/?guid=9cb6c115d1b155087aae69f4c113dd87</guid>

					<description><![CDATA[Amazon Nova Multimodal Embeddings is a new state-of-the-art embedding model available in Amazon Bedrock. It is the industry’s first embedding model that supports text, documents, images, video, and audio through a single unified model, enabling cross-modal retrieval and semantic search applications with leading accuracy, at industry-leading costs.]]></description>
		
		
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		<item>
		<title>Introducing Claude Sonnet 4.5 in Amazon Bedrock: Anthropic’s most intelligent model, best for coding and complex agents</title>
		<link>https://noise.getoto.net/2025/09/29/introducing-claude-sonnet-4-5-in-amazon-bedrock-anthropics-most-intelligent-model-best-for-coding-and-complex-agents/</link>
		
		<dc:creator><![CDATA[Matheus Guimaraes]]></dc:creator>
		<pubDate>Mon, 29 Sep 2025 17:56:16 +0000</pubDate>
				<category><![CDATA[Amazon Bedrock]]></category>
		<category><![CDATA[Amazon Machine Learning]]></category>
		<category><![CDATA[announcements]]></category>
		<category><![CDATA[launch]]></category>
		<category><![CDATA[news]]></category>
		<guid isPermaLink="false">http://noise.getoto.net/?guid=4b30ed10fe747fc5f68813ff663c0c7d</guid>

					<description><![CDATA[Amazon Web Services announces Claude Sonnet 4.5 in Amazon Bedrock, featuring advanced capabilities in coding, tool handling, and long-horizon tasks, with improvements in memory management, context processing, and industry-specific applications across finance, research, and cybersecurity sectors.]]></description>
		
		
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		<item>
		<title>Qwen models are now available in Amazon Bedrock</title>
		<link>https://noise.getoto.net/2025/09/19/qwen-models-are-now-available-in-amazon-bedrock/</link>
		
		<dc:creator><![CDATA[Danilo Poccia]]></dc:creator>
		<pubDate>Thu, 18 Sep 2025 22:02:11 +0000</pubDate>
				<category><![CDATA[Amazon Bedrock]]></category>
		<category><![CDATA[Amazon Machine Learning]]></category>
		<category><![CDATA[announcements]]></category>
		<category><![CDATA[artificial intelligence]]></category>
		<category><![CDATA[Featured]]></category>
		<category><![CDATA[launch]]></category>
		<category><![CDATA[news]]></category>
		<category><![CDATA[open source]]></category>
		<category><![CDATA[serverless]]></category>
		<guid isPermaLink="false">http://noise.getoto.net/?guid=f325ee1f8e31789961f2b91f06b511c2</guid>

					<description><![CDATA[Amazon Bedrock has expanded its model offerings with the addition of Qwen 3 foundation models enabling users to access and deploy them in a fully managed, serverless environment. These models feature both mixture-of-experts (MoE) and dense architectures to support diverse use cases including advanced code generation, multi-tool business automation, and cost-optimized AI reasoning.]]></description>
		
		
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		<item>
		<title>DeepSeek-V3.1 model now available in Amazon Bedrock</title>
		<link>https://noise.getoto.net/2025/09/19/deepseek-v3-1-model-now-available-in-amazon-bedrock/</link>
		
		<dc:creator><![CDATA[Channy Yun (윤석찬)]]></dc:creator>
		<pubDate>Thu, 18 Sep 2025 21:49:48 +0000</pubDate>
				<category><![CDATA[Amazon Bedrock]]></category>
		<category><![CDATA[Amazon Machine Learning]]></category>
		<category><![CDATA[announcements]]></category>
		<category><![CDATA[artificial intelligence]]></category>
		<category><![CDATA[Featured]]></category>
		<category><![CDATA[launch]]></category>
		<category><![CDATA[news]]></category>
		<category><![CDATA[open source]]></category>
		<category><![CDATA[serverless]]></category>
		<guid isPermaLink="false">http://noise.getoto.net/?guid=9fe3fdba7bd793b30e8f2b13ed75b5af</guid>

					<description><![CDATA[AWS launches DeepSeek-V3.1 as a fully managed models in Amazon Bedrock. DeepSeek-V3.1 is a hybrid open weight model that switches between thinking mode for detailed step-by-step analysis and non-thinking mode for faster responses.]]></description>
		
		
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		<item>
		<title>OpenAI open weight models now available on AWS</title>
		<link>https://noise.getoto.net/2025/08/06/openai-open-weight-models-now-available-on-aws/</link>
		
		<dc:creator><![CDATA[Danilo Poccia]]></dc:creator>
		<pubDate>Wed, 06 Aug 2025 05:56:44 +0000</pubDate>
				<category><![CDATA[Amazon Bedrock]]></category>
		<category><![CDATA[Amazon Machine Learning]]></category>
		<category><![CDATA[Amazon Sagemaker]]></category>
		<category><![CDATA[Amazon SageMaker JumpStart]]></category>
		<category><![CDATA[announcements]]></category>
		<category><![CDATA[artificial intelligence]]></category>
		<category><![CDATA[launch]]></category>
		<category><![CDATA[news]]></category>
		<category><![CDATA[open source]]></category>
		<guid isPermaLink="false">http://noise.getoto.net/?guid=ddd4dfd10d93844def31e15d28f00eea</guid>

					<description><![CDATA[AWS continues to expand access to the most advanced foundation models with OpenAI open weight models now available in Amazon Bedrock and Amazon SageMaker JumpStart. Accessing these new models from OpenAI on AWS, gpt-oss-120b and gpt-oss-20b, gives you more freedom to innovate and choose the right model for your specific use cases while maintaining complete control over your infrastructure and data.]]></description>
		
		
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		<item>
		<title>Introducing Amazon Bedrock AgentCore: Securely deploy and operate AI agents at any scale (preview)</title>
		<link>https://noise.getoto.net/2025/07/16/introducing-amazon-bedrock-agentcore-securely-deploy-and-operate-ai-agents-at-any-scale-preview/</link>
		
		<dc:creator><![CDATA[Danilo Poccia]]></dc:creator>
		<pubDate>Wed, 16 Jul 2025 15:11:33 +0000</pubDate>
				<category><![CDATA[Amazon Bedrock]]></category>
		<category><![CDATA[Amazon Bedrock Agents]]></category>
		<category><![CDATA[Amazon Bedrock Knowledge Bases]]></category>
		<category><![CDATA[Amazon Machine Learning]]></category>
		<category><![CDATA[announcements]]></category>
		<category><![CDATA[artificial intelligence]]></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=5f233cdfc4708ec248d1a9bbab6cc13a</guid>

					<description><![CDATA[Amazon Bedrock AgentCore enables rapid deployment and scaling of AI agents with enterprise-grade security. It provides memory management, identity controls, and tool integration—streamlining development while working with any open-source framework and foundation model.]]></description>
		
		
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		<item>
		<title>TwelveLabs video understanding models are now available in Amazon Bedrock</title>
		<link>https://noise.getoto.net/2025/07/16/twelvelabs-video-understanding-models-are-now-available-in-amazon-bedrock/</link>
		
		<dc:creator><![CDATA[Channy Yun (윤석찬)]]></dc:creator>
		<pubDate>Tue, 15 Jul 2025 23:33:17 +0000</pubDate>
				<category><![CDATA[Amazon Bedrock]]></category>
		<category><![CDATA[Amazon Machine Learning]]></category>
		<category><![CDATA[announcements]]></category>
		<category><![CDATA[artificial intelligence]]></category>
		<category><![CDATA[AWS Summit New York]]></category>
		<category><![CDATA[Featured]]></category>
		<category><![CDATA[launch]]></category>
		<category><![CDATA[news]]></category>
		<guid isPermaLink="false">http://noise.getoto.net/?guid=b0f8fb59566dd96bfd27d7205af13578</guid>

					<description><![CDATA[TwelveLabs video understanding models are now available on Amazon Bedrock and enable customers to search through videos, classify scenes, summarize content, and extract insights with precision and reliability.]]></description>
		
		
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		<item>
		<title>Amazon FSx for Lustre launches new storage class with the lowest-cost and only fully elastic Lustre ﬁle storage</title>
		<link>https://noise.getoto.net/2025/05/29/amazon-fsx-for-lustre-launches-new-storage-class-with-the-lowest-cost-and-only-fully-elastic-lustre-%ef%ac%81le-storage/</link>
		
		<dc:creator><![CDATA[Veliswa Boya]]></dc:creator>
		<pubDate>Thu, 29 May 2025 20:55:51 +0000</pubDate>
				<category><![CDATA[Amazon FSx for Lustre]]></category>
		<category><![CDATA[Amazon Machine Learning]]></category>
		<category><![CDATA[announcements]]></category>
		<category><![CDATA[Featured]]></category>
		<category><![CDATA[launch]]></category>
		<category><![CDATA[news]]></category>
		<guid isPermaLink="false">http://noise.getoto.net/?guid=fd75442baa834fc7cab69b3d0f042d44</guid>

					<description><![CDATA[Amazon FSx for Lustre Intelligent-Tiering storage class provides cost-effective, virtually unlimited elastic file storage for ML and HPC workloads that automatically optimizes costs by tiering data based on access frequency.]]></description>
		
		
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		<title>Introducing Claude 4 in Amazon Bedrock, the most powerful models for coding from Anthropic</title>
		<link>https://noise.getoto.net/2025/05/22/introducing-claude-4-in-amazon-bedrock-the-most-powerful-models-for-coding-from-anthropic/</link>
		
		<dc:creator><![CDATA[Sébastien Stormacq]]></dc:creator>
		<pubDate>Thu, 22 May 2025 19:47:29 +0000</pubDate>
				<category><![CDATA[Amazon Bedrock]]></category>
		<category><![CDATA[Amazon Machine Learning]]></category>
		<category><![CDATA[announcements]]></category>
		<category><![CDATA[artificial intelligence]]></category>
		<category><![CDATA[Featured]]></category>
		<category><![CDATA[foundation-models]]></category>
		<category><![CDATA[launch]]></category>
		<category><![CDATA[news]]></category>
		<guid isPermaLink="false">http://noise.getoto.net/?guid=f897915c2f35feaec9f381e1621a4cea</guid>

					<description><![CDATA[Claude Opus 4 is now available on Amazon Bedrock for developers to build advanced AI agents with improved reasoning and coding capabilities, as well as expanded context for building more autonomous AI agents that can handle complex, multistep workflows across software development and enterprise operations. Claude Sonnet 4, which is optimized for high-volume production workloads is coming soon.]]></description>
		
		
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		<title>Empower financial analytics by creating structured knowledge bases using Amazon Bedrock and Amazon Redshift</title>
		<link>https://noise.getoto.net/2025/05/20/empower-financial-analytics-by-creating-structured-knowledge-bases-using-amazon-bedrock-and-amazon-redshift/</link>
		
		<dc:creator><![CDATA[Nita Shah]]></dc:creator>
		<pubDate>Tue, 20 May 2025 16:44:44 +0000</pubDate>
				<category><![CDATA[Amazon Bedrock]]></category>
		<category><![CDATA[Amazon Bedrock Knowledge Bases]]></category>
		<category><![CDATA[Amazon Machine Learning]]></category>
		<category><![CDATA[Amazon Redshift]]></category>
		<category><![CDATA[Analytics]]></category>
		<category><![CDATA[artificial intelligence]]></category>
		<category><![CDATA[generative AI]]></category>
		<guid isPermaLink="false">http://noise.getoto.net/?guid=102b00e088a076972e687fbdfa81f7f8</guid>

					<description><![CDATA[In this post, we showcase how financial planners, advisors, or bankers can now ask questions in natural language. These prompts will receive precise data from the customer databases for accounts, investments, loans, and transactions. Amazon Bedrock Knowledge Bases automatically translates these natural language queries into optimized SQL statements, thereby accelerating time to insight, enabling faster discoveries and efficient decision-making.]]></description>
		
		
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		<title>Llama 4 models from Meta now available in Amazon Bedrock serverless</title>
		<link>https://noise.getoto.net/2025/04/29/llama-4-models-from-meta-now-available-in-amazon-bedrock-serverless/</link>
		
		<dc:creator><![CDATA[Danilo Poccia]]></dc:creator>
		<pubDate>Tue, 29 Apr 2025 01:09:24 +0000</pubDate>
				<category><![CDATA[Amazon Bedrock]]></category>
		<category><![CDATA[Amazon Machine Learning]]></category>
		<category><![CDATA[announcements]]></category>
		<category><![CDATA[artificial intelligence]]></category>
		<category><![CDATA[Featured]]></category>
		<category><![CDATA[foundation-models]]></category>
		<category><![CDATA[launch]]></category>
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					<description><![CDATA[Meta's newest AI models, Llama 4 Scout 17B and Llama 4 Maverick 17B, are now available as fully managed, serverless models in Amazon Bedrock, offering natively multimodal capabilities with enhanced reasoning, image understanding, and extended context processing for enterprise applications across multiple industries.]]></description>
		
		
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		<title>Writer Palmyra X5 and X4 foundation models are now available in Amazon Bedrock</title>
		<link>https://noise.getoto.net/2025/04/28/writer-palmyra-x5-and-x4-foundation-models-are-now-available-in-amazon-bedrock/</link>
		
		<dc:creator><![CDATA[Danilo Poccia]]></dc:creator>
		<pubDate>Mon, 28 Apr 2025 17:37:19 +0000</pubDate>
				<category><![CDATA[Amazon Bedrock]]></category>
		<category><![CDATA[Amazon Machine Learning]]></category>
		<category><![CDATA[announcements]]></category>
		<category><![CDATA[artificial intelligence]]></category>
		<category><![CDATA[Featured]]></category>
		<category><![CDATA[generative AI]]></category>
		<category><![CDATA[launch]]></category>
		<category><![CDATA[news]]></category>
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					<description><![CDATA[Writer's Palmyra X5 and X4 models in Amazon Bedrock features extensive context windows and enterprise-grade security for building sophisticated AI applications across multiple industries.]]></description>
		
		
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