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Tag: Amazon S3

How VistaPrint delivers personalized product recommendations with Amazon Personalize | Amazon Web Services

VistaPrint, a Cimpress business, is the design and marketing partner to millions of small businesses around the world. For more than two decades, VistaPrint...

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Expedite your Genesys Cloud Amazon Lex bot design with the Amazon Lex automated chatbot designer | Amazon Web Services

The rise of artificial intelligence (AI) has created opportunities to improve the customer experience in the contact center space. Machine learning (ML) technologies continually...

Use RAG for drug discovery with Knowledge Bases for Amazon Bedrock | Amazon Web Services

Amazon Bedrock provides a broad range of models from Amazon and third-party providers, including Anthropic, AI21, Meta, Cohere, and Stability AI, and covers a...

Unlock personalized experiences powered by AI using Amazon Personalize and Amazon OpenSearch Service | Amazon Web Services

OpenSearch is a scalable, flexible, and extensible open source software suite for search, analytics, security monitoring, and observability applications, licensed under the Apache 2.0...

Automate Amazon SageMaker Pipelines DAG creation | Amazon Web Services

Creating scalable and efficient machine learning (ML) pipelines is crucial for streamlining the development, deployment, and management of ML models. In this post, we...

Supercharge your AI team with Amazon SageMaker Studio: A comprehensive view of Deutsche Bahn’s AI platform transformation | Amazon Web Services

AI’s growing influence in large organizations brings crucial challenges in managing AI platforms. These include developing a scalable and operationally efficient platform that adheres...

Build a robust text-to-SQL solution generating complex queries, self-correcting, and querying diverse data sources | Amazon Web Services

Structured Query Language (SQL) is a complex language that requires an understanding of databases and metadata. Today, generative AI can enable people without SQL...

Techniques and approaches for monitoring large language models on AWS | Amazon Web Services

Large Language Models (LLMs) have revolutionized the field of natural language processing (NLP), improving tasks such as language translation, text summarization, and sentiment analysis....

Streamline diarization using AI as an assistive technology: ZOO Digital’s story | Amazon Web Services

ZOO Digital provides end-to-end localization and media services to adapt original TV and movie content to different languages, regions, and cultures. It makes globalization...

Run ML inference on unplanned and spiky traffic using Amazon SageMaker multi-model endpoints | Amazon Web Services

Amazon SageMaker multi-model endpoints (MMEs) are a fully managed capability of SageMaker inference that allows you to deploy thousands of models on a single...

Build a contextual chatbot application using Knowledge Bases for Amazon Bedrock | Amazon Web Services

Modern chatbots can serve as digital agents, providing a new avenue for delivering 24/7 customer service and support across many industries. Their popularity stems...

Skeleton-based pose annotation labeling using Amazon SageMaker Ground Truth | Amazon Web Services

Pose estimation is a computer vision technique that detects a set of points on objects (such as people or vehicles) within images or videos....

How BigBasket improved AI-enabled checkout at their physical stores using Amazon SageMaker | Amazon Web Services

This post is co-written with Santosh Waddi and Nanda Kishore Thatikonda from BigBasket. BigBasket is India’s largest...

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