Month

    Build a vaccination verification solution using the Queries feature in Amazon Textract

    Amazon Textract is a machine learning (ML) service that enables automatic extraction of text, handwriting, and data from scanned documents, …

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    Reduce inference time for BERT models using neural architecture search and SageMaker Automated Model Tuning

    In this post, we demonstrate how to use neural architecture search (NAS) based structural pruning to compress a fine-tuned BERT …

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    Use mobility data to derive insights using Amazon SageMaker geospatial capabilities

    Geospatial data is data about specific locations on the earth’s surface. It can represent a geographical area as a whole …

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    Fine-tune and deploy Llama 2 models cost-effectively in Amazon SageMaker JumpStart with AWS Inferentia and AWS Trainium

    Today, we’re excited to announce the availability of Llama 2 inference and fine-tuning support on AWS Trainium and AWS Inferentia …

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    Host the Whisper Model on Amazon SageMaker: exploring inference options

    OpenAI Whisper is an advanced automatic speech recognition (ASR) model with an MIT license. ASR technology finds utility in transcription …

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    Democratic inputs to AI grant program: lessons learned and implementation plans

    We funded 10 teams from around the world to design ideas and tools to collectively govern AI. We summarize the …

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    Democratic inputs to AI grant program: lessons learned and implementation plans

    We funded 10 teams from around the world to design ideas and tools to collectively govern AI. We summarize the …

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    Democratic inputs to AI grant program: lessons learned and implementation plans

    We funded 10 teams from around the world to design ideas and tools to collectively govern AI. We summarize the …

    read more
    Democratic inputs to AI grant program: lessons learned and implementation plans

    We funded 10 teams from around the world to design ideas and tools to collectively govern AI. We summarize the …

    read more
    Democratic inputs to AI grant program: lessons learned and implementation plans

    We funded 10 teams from around the world to design ideas and tools to collectively govern AI. We summarize the …

    read more