
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
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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 |
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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.
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
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 |
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