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Mphasis DeepInsightsTM Text Summarizer runs an extractive model that determines and concatenates relevant sentences from a document.
See how it works: Demo
ElectrifAi's Contract Clause Extraction helps to leverage training data from thousands of contracts to properly identify and extract pertinent information.
See how it works: Demo
Text Analytics
Automate text extraction, generate insights, and perform translation of documents in multiple languages with pre-trained models.
Improve decision-making with actionable insights
Operating in a global environment requires the management of large volumes of documents and language localization. Document analysis solutions can help create summaries or abstracts, translate text into multiple languages, and extract industry-specific information from unstructured text and documents. Examples include emails, social media feeds, news articles, product reviews, to name a few.
Deploy GPT- 2 Machine Learning model available in AWS Marketplace on Amazon SageMaker
Learn how to deploy pre-trained model PT-2 XL to perform tasks such as text generation, question answering, reading comprehension, translation, and text summarization.
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Solutions
The following solutions from AWS Marketplace sellers focus on Amazon Sagemaker for model delivery.
Mphasis
Mphasis DeepInsightsTM Text Summarizer runs an extractive model that determines and concatenates relevant sentences from a document.See how it works: Demo
ElectrifAi
ElectrifAi's Contract Clause Extraction helps to leverage training data from thousands of contracts to properly identify and extract pertinent information.See how it works: Demo
Experimenting with GPT-2 XL machine learning model package on Amazon SageMaker
Learn how to subscribe to and deploy a pretrained GPT-2 XL model, available in AWS Marketplace, to Amazon SageMaker to process natural language.
Benefits
Build ML applications faster
Plug and play pre-trained machine learning models from third-party sellers across various use cases without sharing the data outside your environment.
Reduce time for data prep
Use pre-trained models and solutions that can help identify high-quality data from your overall data set suitable for training the ML models.
Simple feature engineering
Leverage models and solutions to identify and extract additional features from your data that can be used to train your own downstream models.
