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    SmartDescriptions

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    Deployed on AWS
    Free Trial
    SmartDescriptions algorithm allows you to generate text from structured data

    Overview

    SmartDescriptions is a data-to-text solution that allows you to generate text from structured data. With the SmartDescriptions solution, you can automatically save time by generating thousands of comprehensible texts.

    Large companies whose business model is sale are constantly faced with the challenge of describing their hundreds of products and services. With this solution, you can create product descriptions at the push of a button. You can finetune the SmartDescriptions solution to generate texts according to your business domain.

    This algorithm was developed by adapting and finetuning a HuggingFace Model.

    Highlights

    • **Natural Language Generation (NLG):** Generate natural written text from structured data.
    • You can use SmartDescriptions to customize the generation of text from your own structured data. Provide a training dataset and create your own model for a specific business domain.
    • In case you do not have a dataset for training or you’re looking for pretrained models you can contact us directly (info@newtoms.com)

    Details

    Delivery method

    Latest version

    Deployed on AWS

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    Features and programs

    Financing for AWS Marketplace purchases

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    Financing for AWS Marketplace purchases

    Pricing

    Free trial

    Try this product free for 5 days according to the free trial terms set by the vendor.

    SmartDescriptions

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    Pricing is based on actual usage, with charges varying according to how much you consume. Subscriptions have no end date and may be canceled any time.
    Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator  to estimate your infrastructure costs.

    Usage costs (9)

     Info
    Dimension
    Description
    Cost
    ml.m5.xlarge Inference (Batch)
    Recommended
    Model inference on the ml.m5.xlarge instance type, batch mode
    $0.50/host/hour
    ml.g4dn.xlarge Training
    Recommended
    Algorithm training on the ml.g4dn.xlarge instance type
    $0.50/host/hour
    ml.m5.large Inference (Batch)
    Model inference on the ml.m5.large instance type, batch mode
    $0.50/host/hour
    ml.m5.2xlarge Inference (Batch)
    Model inference on the ml.m5.2xlarge instance type, batch mode
    $0.50/host/hour
    inference.count.m.i.c Inference Pricing
    inference.count.m.i.c Inference Pricing
    $0.50/request
    ml.m5.large Training
    Algorithm training on the ml.m5.large instance type
    $0.50/host/hour
    ml.m5.2xlarge Training
    Algorithm training on the ml.m5.2xlarge instance type
    $0.50/host/hour
    ml.m5.xlarge Training
    Algorithm training on the ml.m5.xlarge instance type
    $0.50/host/hour
    ml.g4dn.2xlarge Training
    Algorithm training on the ml.g4dn.2xlarge instance type
    $0.50/host/hour

    Vendor refund policy

    Contact us. EMAIL. info@newtoms.com  TELEPHONE. +1-678-736-3022

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    Legal

    Vendor terms and conditions

    Upon subscribing to this product, you must acknowledge and agree to the terms and conditions outlined in the vendor's End User License Agreement (EULA) .

    Content disclaimer

    Vendors are responsible for their product descriptions and other product content. AWS does not warrant that vendors' product descriptions or other product content are accurate, complete, reliable, current, or error-free.

    Usage information

     Info

    Delivery details

    Amazon SageMaker algorithm

    An Amazon SageMaker algorithm is a machine learning model that requires your training data to make predictions. Use the included training algorithm to generate your unique model artifact. Then deploy the model on Amazon SageMaker for real-time inference or batch processing. Amazon SageMaker is a fully managed platform for building, training, and deploying machine learning models at scale.

    Deploy the model on Amazon SageMaker AI using the following options:
    Before deploying the model, train it with your data using the algorithm training process. You're billed for software and SageMaker infrastructure costs only during training. Duration depends on the algorithm, instance type, and training data size. When training completes, the model artifacts save to your Amazon S3 bucket. These artifacts load into the model when you deploy for real-time inference or batch processing. For more information, see Use an Algorithm to Run a Training Job  .
    Deploy the model as an API endpoint for your applications. When you send data to the endpoint, SageMaker processes it and returns results by API response. The endpoint runs continuously until you delete it. You're billed for software and SageMaker infrastructure costs while the endpoint runs. AWS Marketplace models don't support Amazon SageMaker Asynchronous Inference. For more information, see Deploy models for real-time inference  .
    Deploy the model to process batches of data stored in Amazon Simple Storage Service (Amazon S3). SageMaker runs the job, processes your data, and returns results to Amazon S3. When complete, SageMaker stops the model. You're billed for software and SageMaker infrastructure costs only during the batch job. Duration depends on your model, instance type, and dataset size. AWS Marketplace models don't support Amazon SageMaker Asynchronous Inference. For more information, see Batch transform for inference with Amazon SageMaker AI  .
    Version release notes

    NLG: Generation of text from structured data

    Additional details

    Inputs

    Summary

    This algorithm requires a JSON line file, each line will contain an object with the attributes "inputs" and "parameters"

    Input MIME type
    application/json
    https://github.com/NEWTOMS2/NEWTOMS-SmartDescriptions/tree/main/data/train
    https://github.com/NEWTOMS2/NEWTOMS-SmartDescriptions/blob/main/data/inference/input/batch/input-batch-job.txt

    Input data descriptions

    The following table describes supported input data fields for real-time inference and batch transform.

    Field name
    Description
    Constraints
    Required
    inputs
    This field corresponds to your structured data separated by ";"
    Type: FreeText
    Yes
    parameters
    This field corresponds to an object with the following optional attributes { "max_length": 150, "min_length": 30, "length_penalty": 3.0 } * max_length (int): The maximum length of the sequence to be generated. * min_length (int): The minimum length of the sequence to be generated * length_penalty (float, optional, defaults to 1.0): Exponential penalty to the length that is used with beam-based generation.
    Type: FreeText
    Yes

    Resources

    Vendor resources

    Support

    Vendor support

    Email: info@newtoms.com  Telephone: +1-678-736-3022

    AWS infrastructure support

    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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