Enhancing Just Walk Out technology with multi-modal AI
Since its launch in 2018, Just Walk Out technology by Amazon has […]
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Making traffic lights more efficient with Amazon Rekognition
State and local agencies spend approximately $1.23 billion annually to operate and […]
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Generate synthetic data for evaluating RAG systems using Amazon Bedrock
Evaluating your Retrieval Augmented Generation (RAG) system to make sure it fulfils […]
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Transforming home ownership with Amazon Transcribe Call Analytics, Amazon Comprehend, and Amazon Bedrock: Rocket Mortgage’s journey with AWS
This post is co-written with Josh Zook and Alex Hamilton from Rocket […]
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Govern generative AI in the enterprise with Amazon SageMaker Canvas
With the rise of powerful foundation models (FMs) powered by services such […]
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Accelerate development of ML workflows with Amazon Q Developer in Amazon SageMaker Studio
Machine learning (ML) projects are inherently complex, involving multiple intricate steps—from data […]
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Integrate dynamic web content in your generative AI application using a web search API and Amazon Bedrock Agents
Amazon Bedrock Agents offers developers the ability to build and configure autonomous […]
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Introducing document-level sync reports: Enhanced data sync visibility in Amazon Kendra
Amazon Kendra is an intelligent search service powered by machine learning (ML). Amazon […]
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Build a generative AI assistant to enhance employee experience using Amazon Q Business
In today’s fast-paced business environment, organizations are constantly seeking innovative ways to […]
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Fine-tune Meta Llama 3.1 models using torchtune on Amazon SageMaker
This post is co-written with Meta’s PyTorch team. In today’s rapidly evolving […]
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