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This model is engineered for radiology texts and reports, adeptly identifying entities such as imaging tests, imaging techniques, imaging findings, and more. It also automatically detects the assertion status of the findings: Confirmed, Suspected, Negative, and can find relations between diagnosis,...
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
This is a Text Summarization model built upon a Transformer model from [Hugging Face](https://huggingface.co/sshleifer/distilbart-cnn-12-6). The deployed model can be used for running inference on any English input text.
Model Package - Fulfilled on Amazon SageMaker
Vectara is the Trusted Generative AI for Enterprise Applications, a Serverless Retrieval Augmented Generation (RAG) platform that simplifies RAG & ML pipeline for better generative outcomes in applications, chatbots, and products. Vectara's product is an end-to-end Serverless Retrieval Augmented...
Starting from $0.03/hr or from $0.05/yr (up to 100% savings) for software + AWS usage fees
This is a repackaged software that includes the charges of installation and configuration of a Text to Speech (TTS) Model API Service is an advanced cloud-based platform that converts written text into spoken words. This service leverages artificial intelligence and machine learning models to...
Linux/Unix, Ubuntu 22.04 - 64-bit Amazon Machine Image (AMI)
Active Learning for Text Classification trains a text classification model using a small corpus of training data and provides the most appropriate samples from a huge corpus of unlabeled data to be annotated in order to improve the model accuracy significantly. Using Active Learning this algorithm...
Algorithm - Fulfilled on Amazon SageMaker
This is a Sentence Pair Classification model built upon a Text Embedding model from [TensorFlow Hub](https://tfhub.dev/tensorflow/bert_en_wwm_uncased_L-24_H-1024_A-16/2). It takes a pair of sentences as input and classifies the input pair to 'entailment' or 'no-entailment'. The class label...
Model Package - Fulfilled on Amazon SageMaker
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This model extracts biological and genetics entities from medical texts to enhance therapeutic research, early diagnosis, and personalized care, driving forward data-driven medical advancements. The model was tailored to identify and extract various biological entities such as genes, anatomical...
Model Package - Fulfilled on Amazon SageMaker
DeepInsights Text Paraphraser helps in re-expressing the text content in a different style without changing the original meaning. The solution can be used to get a better understanding of the data and simplify complex sentences. Transformer based models are used which helps in retaining the...
Model Package - Fulfilled on Amazon SageMaker
A high frequency of issues can generate an overwhelming number of service desk tickets and incorrect delegation to teams to handle them. This leads to a spike in MTTR (mean time taken to resolve) and a dip in FCR (First Call Resolution). The solution mitigates these issues by training a...
Algorithm - Fulfilled on Amazon SageMaker
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