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Build a receipt and invoice processing pipeline with Amazon Textract

Favorite In today’s business landscape, organizations are constantly seeking ways to optimize their financial processes, enhance efficiency, and drive cost savings. One area that holds significant potential for improvement is accounts payable. On a high level, the accounts payable process includes receiving and scanning invoices, extraction of the relevant data

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Shared by AWS Machine Learning March 27, 2024

Best practices for building secure applications with Amazon Transcribe

Favorite Amazon Transcribe is an AWS service that allows customers to convert speech to text in either batch or streaming mode. It uses machine learning–powered automatic speech recognition (ASR), automatic language identification, and post-processing technologies. Amazon Transcribe can be used for transcription of customer care calls, multiparty conference calls, and

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Shared by AWS Machine Learning March 26, 2024

Computer-aided diagnosis for lung cancer screening

Favorite Posted by Atilla Kiraly, Software Engineer, and Rory Pilgrim, Product Manager, Google Research Lung cancer is the leading cause of cancer-related deaths globally with 1.8 million deaths reported in 2020. Late diagnosis dramatically reduces the chances of survival. Lung cancer screening via computed tomography (CT), which provides a detailed

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Shared by Google AI Technology March 20, 2024

Enhance performance of generative language models with self-consistency prompting on Amazon Bedrock

Favorite Generative language models have proven remarkably skillful at solving logical and analytical natural language processing (NLP) tasks. Furthermore, the use of prompt engineering can notably enhance their performance. For example, chain-of-thought (CoT) is known to improve a model’s capacity for complex multi-step problems. To additionally boost accuracy on tasks

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Shared by AWS Machine Learning March 19, 2024

Unlock the potential of generative AI in industrial operations

Favorite In the evolving landscape of manufacturing, the transformative power of AI and machine learning (ML) is evident, driving a digital revolution that streamlines operations and boosts productivity. However, this progress introduces unique challenges for enterprises navigating data-driven solutions. Industrial facilities grapple with vast volumes of unstructured data, sourced from

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Shared by AWS Machine Learning March 19, 2024