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Category: Machine learning

October 11, 2024Machine learning

Improve LLM application robustness with Amazon Bedrock Guardrails and Amazon Bedrock Agents

Agentic workflows are a fresh new perspective in building dynamic and complex […]

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October 11, 2024Machine learning

How Indeed builds and deploys fine-tuned LLMs on Amazon SageMaker

This post is cowritten with Ethan Handel and Zhiyuan He from Indeed.com. […]

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October 11, 2024Machine learning

Enable or disable ACL crawling safely in Amazon Q Business

Amazon Q Business recently added support for administrators to modify the default […]

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October 10, 2024Machine learning

SK Telecom improves telco-specific Q&A by fine-tuning Anthropic’s Claude models in Amazon Bedrock

SK Telecom (SKT), South Korea’s leading telecommunications company serving 30 million customers, […]

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October 10, 2024Machine learning

Exploring alternatives and seamlessly migrating data from Amazon Lookout for Vision

Amazon Lookout for Vision, the AWS service designed to create customized artificial […]

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October 10, 2024Machine learning

Scaling Rufus, the Amazon generative AI-powered conversational shopping assistant with over 80,000 AWS Inferentia and AWS Trainium chips, for Prime Day

Amazon Rufus is a shopping assistant experience powered by generative AI. It […]

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October 9, 2024Machine learning

Unlock the knowledge in your Slack workspace with Slack connector for Amazon Q Business

Amazon Q Business is a fully managed, generative AI-powered assistant that you […]

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October 9, 2024Machine learning

Transitioning off Amazon Lookout for Metrics 

Amazon Lookout for Metrics is a fully managed service that uses machine learning (ML) […]

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October 8, 2024Machine learning

Efficient Pre-training of Llama 3-like model architectures using torchtitan on Amazon SageMaker

This post is co-written with Less Wright and Wei Feng from Meta Pre-training […]

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October 8, 2024Machine learning

Automate user on-boarding for financial services with a digital assistant powered by Amazon Bedrock

In this post, we present a solution that harnesses the power of […]

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