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	<title>NLP &#8211; Noise</title>
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		<title>Top Architecture Blog Posts of 2023</title>
		<link>https://noise.getoto.net/2024/02/29/top-architecture-blog-posts-of-2023/</link>
		
		<dc:creator><![CDATA[Andrea Courtright]]></dc:creator>
		<pubDate>Wed, 28 Feb 2024 23:47:51 +0000</pubDate>
				<category><![CDATA[Amazon API Gateway]]></category>
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					<description><![CDATA[2023 was a rollercoaster year in tech, and we at the AWS Architecture Blog feel so fortunate to have shared in the excitement. As we move into 2024 and all of the new technologies we could see, we want to take a moment to highlight the brightest stars from 2023. As always, thanks to our […]]]></description>
		
		
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		<title>Detecting Scene Changes in Audiovisual Content</title>
		<link>https://noise.getoto.net/2023/06/20/detecting-scene-changes-in-audiovisual-content/</link>
		
		<dc:creator><![CDATA[Netflix Technology Blog]]></dc:creator>
		<pubDate>Tue, 20 Jun 2023 16:51:36 +0000</pubDate>
				<category><![CDATA[computer vision]]></category>
		<category><![CDATA[machine learning]]></category>
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		<category><![CDATA[NLP]]></category>
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					<description><![CDATA[Avneesh Saluja, Andy Yao, Hossein TaghaviIntroductionWhen watching a movie or an episode of a TV show, we experience a cohesive narrative that unfolds before us, often without giving much thought to the underlying structure that makes it all possible. ...]]></description>
		
		
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		<title>Optimizing data with automated intelligent document processing solutions</title>
		<link>https://noise.getoto.net/2023/04/28/optimizing-data-with-automated-intelligent-document-processing-solutions/</link>
		
		<dc:creator><![CDATA[Deependra Shekhawat]]></dc:creator>
		<pubDate>Fri, 28 Apr 2023 13:36:54 +0000</pubDate>
				<category><![CDATA[Amazon Comprehend]]></category>
		<category><![CDATA[Amazon Machine Learning]]></category>
		<category><![CDATA[Amazon Sagemaker]]></category>
		<category><![CDATA[Amazon Textract]]></category>
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		<category><![CDATA[artificial intelligence]]></category>
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					<description><![CDATA[Many organizations struggle to effectively manage and derive insights from the large amount of unstructured data locked in emails, PDFs, images, scanned documents, and more. The variety of formats, document layouts, and text makes it difficult for any standard Optical Character Recognition (OCR) to extract key insights from these data sources. To help organizations overcome […]]]></description>
		
		
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		<title>Running a Cost-effective NLP Pipeline on Serverless Infrastructure at Scale</title>
		<link>https://noise.getoto.net/2021/11/09/running-a-cost-effective-nlp-pipeline-on-serverless-infrastructure-at-scale/</link>
		
		<dc:creator><![CDATA[Eitan Sela]]></dc:creator>
		<pubDate>Tue, 09 Nov 2021 15:12:53 +0000</pubDate>
				<category><![CDATA[Advanced (300)]]></category>
		<category><![CDATA[Amazon Simple Storage Service (S3)]]></category>
		<category><![CDATA[Architecture]]></category>
		<category><![CDATA[AWS Lambda]]></category>
		<category><![CDATA[AWS Step Functions]]></category>
		<category><![CDATA[NLP]]></category>
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					<description><![CDATA[Amenity Analytics develops enterprise natural language processing (NLP) platforms for the finance, insurance, and media industries that extract critical insights from mountains of documents. We provide a scalable way for businesses to get a human-level understanding of information from text. In this blog post, we will show how Amenity Analytics improved the continuous integration (CI) […]]]></description>
		
		
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