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