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Amazon Sagemaker

Amazon SageMaker is a fully-managed platform that enables developers and data scientists to quickly and easily build, train, and deploy machine learning models at any scale. With Amazon SageMaker, all the barriers and complexity that typically slow down developers who want to use machine learning are removed. The service includes models that can be used together or independently to build, train, and deploy your machine learning models.

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Natural Language Question Generator

Latest Version:
2.5
This solution uses Natural Language Understanding and Processing to generate relevant questions from paragraphs.

    Product Overview

    Natural Language Question Generator can be used to generate questions from free text content in scenarios such as educational content, conversational systems like chatbots, virtual assistants, FAQ creation etc. This solution leverages attention based models to generate appropriate questions from given paragraphs. Deep Neural Network based transformer model have been trained to create this question generator. This solution can generate coherent and intelligent questions based on the most important aspects of the paragraph.

    Key Data

    Type
    Model Package
    Fulfillment Methods
    Amazon SageMaker

    Highlights

    • This solution is an open domain question generator. It uses of state of the art transformer based models that capture context and frame relevant questions from a given text content.

    • The solution can be leveraged in industries such as EdTech, health care, banking, insurance, retail, e-commerce to power systems like intelligent chatbots, virtual assistants, FAQ generation, knowledge games etc.

    • Mphasis DeepInsights is a cloud-based cognitive computing platform that offers data extraction & predictive analytics capabilities. Need customized Machine Learning and Deep Learning solutions? Get in touch!

    Not quite sure what you’re looking for? AWS Marketplace can help you find the right solution for your use case. Contact us

    Pricing Information

    Use this tool to estimate the software and infrastructure costs based your configuration choices. Your usage and costs might be different from this estimate. They will be reflected on your monthly AWS billing reports.

    Contact us to request contract pricing for this product.


    Estimating your costs

    Choose your region and launch option to see the pricing details. Then, modify the estimated price by choosing different instance types.

    Version
    Region

    Software Pricing

    Model Realtime Inference$10.00/hr

    running on ml.m5.12xlarge

    Model Batch Transform$20.00/hr

    running on ml.m5.12xlarge

    Infrastructure Pricing

    With Amazon SageMaker, you pay only for what you use. Training and inference is billed by the second, with no minimum fees and no upfront commitments. Pricing within Amazon SageMaker is broken down by on-demand ML instances, ML storage, and fees for data processing in notebooks and inference instances.
    Learn more about SageMaker pricing

    SageMaker Realtime Inference$2.765/host/hr

    running on ml.m5.12xlarge

    SageMaker Batch Transform$2.765/host/hr

    running on ml.m5.12xlarge

    Model Realtime Inference

    For model deployment as Real-time endpoint in Amazon SageMaker, the software is priced based on hourly pricing that can vary by instance type. Additional infrastructure cost, taxes or fees may apply.
    InstanceType
    Realtime Inference/hr
    ml.m4.4xlarge
    $10.00
    ml.m5.4xlarge
    $10.00
    ml.m4.16xlarge
    $10.00
    ml.m5.2xlarge
    $10.00
    ml.p3.16xlarge
    $10.00
    ml.m4.2xlarge
    $10.00
    ml.c5.2xlarge
    $10.00
    ml.p3.2xlarge
    $10.00
    ml.c4.2xlarge
    $10.00
    ml.m4.10xlarge
    $10.00
    ml.c4.xlarge
    $10.00
    ml.m5.24xlarge
    $10.00
    ml.c5.xlarge
    $10.00
    ml.p2.xlarge
    $10.00
    ml.m5.12xlarge
    Vendor Recommended
    $10.00
    ml.p2.16xlarge
    $10.00
    ml.c4.4xlarge
    $10.00
    ml.c5.large
    $10.00
    ml.m5.xlarge
    $10.00
    ml.c5.9xlarge
    $10.00
    ml.m4.xlarge
    $10.00
    ml.c5.4xlarge
    $10.00
    ml.p3.8xlarge
    $10.00
    ml.c4.large
    $10.00
    ml.m5.large
    $10.00
    ml.c4.8xlarge
    $10.00
    ml.p2.8xlarge
    $10.00
    ml.c5.18xlarge
    $10.00

    Usage Information

    Fulfillment Methods

    Amazon SageMaker

    Input

    • Supported content types: text/plain • Sample input file: (https://tinyurl.com/yyv7uapx ) • Input file should be of .txt type and with 'ascii' encoding • Input file should contain paragraph for which question needs to be generated • Input file size should be less than 2 kb • It is recomended to use high configuration systems for bigger paragraphs

    Output

    • Content type: text/plain • Sample output file:(https://tinyurl.com/y3szyyps ) • Output file will be of .txt type • Output file will contain questions generated from the input paragraph

    Invoking endpoint

    AWS CLI Command

    If you are using real time inferencing, please create the endpoint first and then use the following command to invoke it:

    !aws sagemaker-runtime invoke-endpoint --endpoint-name $model_name --body fileb://$file_name --content-type 'text/plain' --region us-east-2 result.txt

    Substitute the following parameters:

    • "model-name" - name of the inference endpoint where the model is deployed
    • file_name - input file name
    • text/plain - type of the given input
    • result.txt - filename where the inference results are written to.

    Resources

    End User License Agreement

    By subscribing to this product you agree to terms and conditions outlined in the product End user License Agreement (EULA)

    Support Information

    Natural Language Question Generator

    For any assistance, please reach out at:

    AWS Infrastructure

    AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.

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    Refund Policy

    Currently we do not support refunds, but you can cancel your subscription to the service at any time.

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