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Category: Machine learning

May 31, 2024Machine learning

Implementing Knowledge Bases for Amazon Bedrock in support of GDPR (right to be forgotten) requests

The General Data Protection Regulation (GDPR) right to be forgotten, also known […]

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May 30, 2024Machine learning

CBRE and AWS perform natural language queries of structured data using Amazon Bedrock

This is a guest post co-written with CBRE. CBRE is the world’s […]

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May 30, 2024Machine learning

Vitech uses Amazon Bedrock to revolutionize information access with AI-powered chatbot

This post is co-written with Murthy Palla and Madesh Subbanna from Vitech. […]

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May 30, 2024Machine learning

Dynamic video content moderation and policy evaluation using AWS generative AI services

Organizations across media and entertainment, advertising, social media, education, and other sectors […]

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May 29, 2024Machine learning

End-to-end LLM training on instance clusters with over 100 nodes using AWS Trainium

Llama is Meta AI’s large language model (LLM), with variants ranging from […]

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May 29, 2024Machine learning

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

A variety of different techniques have been used for returning images relevant […]

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May 29, 2024Machine learning

Fine-tune large multimodal models using Amazon SageMaker

Large multimodal models (LMMs) integrate multiple data types into a single model. […]

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May 23, 2024Machine learning

Accelerate Mixtral 8x7B pre-training with expert parallelism on Amazon SageMaker

Mixture of Experts (MoE) architectures for large language models (LLMs) have recently […]

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May 22, 2024Machine learning

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

In the world of online retail, creating high-quality product descriptions for millions […]

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May 21, 2024Machine learning

Create a multimodal assistant with advanced RAG and Amazon Bedrock

Retrieval Augmented Generation (RAG) models have emerged as a promising approach to […]

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