Enhance image search experiences with Amazon Personalize, Amazon OpenSearch Service, and Amazon Titan Multimodal Embeddings in Amazon Bedrock

Favorite A variety of different techniques have been used for returning images relevant to search queries. Historically, the idea of creating a joint embedding space to facilitate image captioning or text-to-image search has been of interest to machine learning (ML) practitioners and businesses for quite a while. Contrastive Language–Image Pre-training

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Shared by AWS Machine Learning May 30, 2024

Generating fashion product descriptions by fine-tuning a vision-language model with SageMaker and Amazon Bedrock

Favorite In the world of online retail, creating high-quality product descriptions for millions of products is a crucial, but time-consuming task. Using machine learning (ML) and natural language processing (NLP) to automate product description generation has the potential to save manual effort and transform the way ecommerce platforms operate. One

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Shared by AWS Machine Learning May 23, 2024

How 20 Minutes empowers journalists and boosts audience engagement with generative AI on Amazon Bedrock

Favorite This post is co-written with Aurélien Capdecomme and Bertrand d’Aure from 20 Minutes. With 19 million monthly readers, 20 Minutes is a major player in the French media landscape. The media organization delivers useful, relevant, and accessible information to an audience that consists primarily of young and active urban readers. Every

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Shared by AWS Machine Learning May 22, 2024

Create a multimodal assistant with advanced RAG and Amazon Bedrock

Favorite Retrieval Augmented Generation (RAG) models have emerged as a promising approach to enhance the capabilities of language models by incorporating external knowledge from large text corpora. However, despite their impressive performance in various natural language processing tasks, RAG models still face several limitations that need to be addressed. Naive

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Shared by AWS Machine Learning May 22, 2024