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 […] Read more
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 […] Read more
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. […] Read more
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 […] Read more
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 […] Read more
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 […] Read more
May 29, 2024Machine learning Fine-tune large multimodal models using Amazon SageMaker Large multimodal models (LMMs) integrate multiple data types into a single model. […] Read more
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 […] Read more
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 […] Read more
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 […] Read more