Leveraging SageMaker and Amazon Bedrock to Refine a Vision-Language Model for Writing Fashion Product Descriptions | Amazon Web Services

Leveraging SageMaker and Amazon Bedrock to Refine a Vision-Language Model for Writing Fashion Product Descriptions | Amazon Web Services

In the realm of online retail, generating high-quality product descriptions for numerous products is a crucial yet time-consuming task. Leveraging machine learning (ML) and natural language processing (NLP) to automate the process of creating product descriptions has the potential to streamline operations and enhance the searchability of ecommerce platforms. By using ML and NLP, ecommerce … Read more

Develop a cutting-edge multimodal assistant powered by advanced RAG and Amazon Bedrock on Amazon Web Services

Develop a cutting-edge multimodal assistant powered by advanced RAG and Amazon Bedrock on Amazon Web Services

Retrieval Augmented Generation (RAG) models have been developed to improve the capabilities of language models by incorporating external knowledge from large text corpora. Despite their success in various natural language processing tasks, RAG models still have limitations such as missing content, reasoning mismatch, and challenges in dealing with multimodal data. To address these shortcomings, a … Read more

The role of AWS Partners in enhancing innovation and efficiency with Amazon Bedrock and Amazon Q | Amazon Web Services

The role of AWS Partners in enhancing innovation and efficiency with Amazon Bedrock and Amazon Q | Amazon Web Services

In April, Amazon Web Services (AWS) announced new features for Amazon Bedrock and Amazon Q, providing groundbreaking generative AI capabilities that have the potential to revolutionize how businesses and developers create intelligent applications. AWS Partners showed excitement for these new features, sharing use cases such as natural language search with Amazon Q and automating tasks … Read more