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	<title>foundation-models &#8211; Noise</title>
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		<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>
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					<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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		<title>Analyze media content using AWS AI services</title>
		<link>https://noise.getoto.net/2025/06/02/analyze-media-content-using-aws-ai-services/</link>
		
		<dc:creator><![CDATA[Jack Bradham]]></dc:creator>
		<pubDate>Mon, 02 Jun 2025 16:25:10 +0000</pubDate>
				<category><![CDATA[Amazon Bedrock]]></category>
		<category><![CDATA[Amazon Q Business]]></category>
		<category><![CDATA[Amazon QuickSight]]></category>
		<category><![CDATA[Amazon Transcribe]]></category>
		<category><![CDATA[artificial intelligence]]></category>
		<category><![CDATA[foundation-models]]></category>
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					<description><![CDATA[Organizations managing large audio and video archives face significant challenges in extracting value from their media content. Consider a radio network with thousands of broadcast hours across multiple stations and the challenges they face to efficiently verify ad placements, identify interview segments, and analyze programming patterns. In this post, we demonstrate how you can automatically transform unstructured media files into searchable, analyzable content.]]></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>
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					<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>FM-Intent: Predicting User Session Intent with Hierarchical Multi-Task Learning</title>
		<link>https://noise.getoto.net/2025/05/21/fm-intent-predicting-user-session-intent-with-hierarchical-multi-task-learning/</link>
		
		<dc:creator><![CDATA[Netflix Technology Blog]]></dc:creator>
		<pubDate>Wed, 21 May 2025 16:28:07 +0000</pubDate>
				<category><![CDATA[AI]]></category>
		<category><![CDATA[deep learning]]></category>
		<category><![CDATA[foundation-models]]></category>
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					<description><![CDATA[Authors: Sejoon Oh, Moumita Bhattacharya, Yesu Feng, Sudarshan Lamkhede, Ko-Jen Hsiao, and Justin BasilicoMotivationRecommender systems have become essential components of digital services across e-commerce, streaming media, and social networks [1, 2]....]]></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>
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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>Foundation Model for Personalized Recommendation</title>
		<link>https://noise.getoto.net/2025/03/29/foundation-model-for-personalized-recommendation/</link>
		
		<dc:creator><![CDATA[Netflix Technology Blog]]></dc:creator>
		<pubDate>Sat, 29 Mar 2025 00:51:25 +0000</pubDate>
				<category><![CDATA[AI]]></category>
		<category><![CDATA[deep learning]]></category>
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					<description><![CDATA[By Ko-Jen Hsiao, Yesu Feng and Sudarshan LamkhedeMotivationNetflix’s personalized recommender system is a complex system, boasting a variety of specialized machine learned models each catering to distinct needs including “Continue Watching” and “Today’...]]></description>
		
		
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