This solution helps users automate the coherent summary generation from documents. It identifies frequently used entity clusters in the document to capture salient and most important candidate sentences. An abstractive summary is generated from these sentences using reinforcement learning to...
Model Package - Fulfilled on Amazon SageMaker
What we do: · Initiate document upload process via a web application · Employ a workflow that uses Amazon S3, Amazon SQS, AWS Lambda, Amazon Textract, Amazon SNS, Amazon Comprehend Custom Classifier, Augmented AI (Human in loop), and Amazon Dynamo DB · Apply a combination of OCR & NLP to dissect...
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World record holding Summarization Model on the Samsum dataset. This model does medium length text output. This text summarization model surpassed both Google & Facebook's Algorithms on Hugging Face and has optimized Rouge Score and loss parameters.
Model Package - Fulfilled on Amazon SageMaker
Starting from $0.10/hr or from $899.00/yr (1% savings) for software + AWS usage fees
Deepseek-coder-6.7b-instruct is a 6.7B parameter model initialized from deepseek-coder-6.7b-base and fine-tuned on 2B tokens of instruction data. Massive Training Data: Trained from scratch fon 2T tokens, including 87% code and 13% linguistic data in both English and Chinese languages. Highly...
Linux/Unix, Ubuntu 22.04 - 64-bit Amazon Machine Image (AMI)
Mphasis Knowledge Graph is a novel approach of summarizing or converting unstructured data into query-able triplets of Subject-Predicate-Object using NLP. It helps in semantic understanding of the unstructured data. The algorithm takes English text data as input and generates two outputs, the...
Model Package - Fulfilled on Amazon SageMaker
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...
Model Package - Fulfilled on Amazon SageMaker
A versatile solution to generate a crisp and choherent summary of a document. It uses a large language model to analyze the text and apply natural language generation to generate the summary. The user can pass on arguments to manage the length and content of the summary. This allows this solution...
Model Package - Fulfilled on Amazon SageMaker
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Command R+ is a highly performant generative large language model, optimized for a variety of use cases including reasoning, summarization, and question answering. Command R+ has the capability for multilingual generation evaluated in 10 languages and highly performant RAG capabilities. This...
Model Package - Fulfilled on Amazon SageMaker
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Command R is a highly performant generative large language model, optimized for a variety of use cases including reasoning, summarization, and question answering. Command R has the capability for multilingual generation evaluated in 10 languages and highly performant RAG capabilities. This variant...
Model Package - Fulfilled on Amazon SageMaker
This is a Text Summarization model built upon a Transformer model from [Hugging Face](https://huggingface.co/sshleifer/distilbart-cnn-6-6). The deployed model can be used for running inference on any English input text.
Model Package - Fulfilled on Amazon SageMaker
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