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Cost-effective document classification using the Amazon Titan Multimodal Embeddings Model | Amazon Web Services

Organizations across industries want to categorize and extract insights from high volumes of documents of different formats. Manually processing these documents to classify and...

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Improving Content Moderation with Amazon Rekognition Bulk Analysis and Custom Moderation | Amazon Web Services

Amazon Rekognition makes it easy to add image and video analysis to your applications. It’s based on the same proven, highly scalable, deep learning...

Understanding and predicting urban heat islands at Gramener using Amazon SageMaker geospatial capabilities | Amazon Web Services

This is a guest post co-authored by Shravan Kumar and Avirat S from Gramener. Gramener, a Straive...

Build a news recommender application with Amazon Personalize | Amazon Web Services

With a multitude of articles, videos, audio recordings, and other media created daily across news media companies, readers of all types—individual consumers, corporate subscribers,...

Seamlessly transition between no-code and code-first machine learning with Amazon SageMaker Canvas and Amazon SageMaker Studio | Amazon Web Services

Amazon SageMaker Studio is a web-based, integrated development environment (IDE) for machine learning (ML) that lets you build, train, debug, deploy, and monitor your...

Build a contextual text and image search engine for product recommendations using Amazon Bedrock and Amazon OpenSearch Serverless | Amazon Web Services

The rise of contextual and semantic search has made ecommerce and retail businesses search straightforward for its consumers. Search engines and recommendation systems powered...

Enable single sign-on access of Amazon SageMaker Canvas using AWS IAM Identity Center: Part 2 | Amazon Web Services

Amazon SageMaker Canvas allows you to use machine learning (ML) to generate predictions without having to write any code. It does so by covering...

Provide live agent assistance for your chatbot users with Amazon Lex and Talkdesk cloud contact center | Amazon Web Services

Amazon Lex provides advanced conversational artificial intelligence (AI) capabilities to enable self-service support for your organization’s contact center. With Amazon Lex, you can implement an...

Efficient continual pre-training LLMs for financial domains | Amazon Web Services

Large language models (LLMs) are generally trained on large publicly available datasets that are domain agnostic. For example, Meta’s Llama models are trained on...

Achieve DevOps maturity with BMC AMI zAdviser Enterprise and Amazon Bedrock | Amazon Web Services

In software engineering, there is a direct correlation between team performance and building robust, stable applications. The data community aims to adopt the rigorous...

Fine-tune your Amazon Titan Image Generator G1 model using Amazon Bedrock model customization | Amazon Web Services

Amazon Titan lmage Generator G1 is a cutting-edge text-to-image model, available via Amazon Bedrock, that is able to understand prompts describing multiple objects in...

Build a receipt and invoice processing pipeline with Amazon Textract | Amazon Web Services

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...

Best practices for building secure applications with Amazon Transcribe | Amazon Web Services

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...

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