Search applications are ubiquitous in today's digital world across various use cases of plagiarism systems, ranking products, items, text descriptions etc. This is a text search solution that is based on efficient index based approximate nearest neighbours algorithm which is much faster than a...
Algorithm - Fulfilled on Amazon SageMaker
This is a Extractive Question Answering model built upon a Text Embedding model from [PyTorch Hub](https://pytorch.org/hub/huggingface_pytorch-transformers/). It takes as input a pair of question-context strings, and returns a sub-string from the context as a answer to the question. The Text...
Model Package - Fulfilled on Amazon SageMaker
Financial Spreading Information extraction solution detects finance related tables like balance sheet, cash flow, income statement etc. and extracts the content as key value pairs. The solution uses text matching, NLP and Machine Learning to localize and identify financial tables and extract...
Model Package - Fulfilled on Amazon SageMaker
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Jina Reranker v1 Base model is a neural text reranking model, designed to enhance the relevance of search results. It complements text embedding models and refines search results by prioritizing documents relevant to a query. This state-of-the-art reranker model enables a variety of applications...
Model Package - Fulfilled on Amazon SageMaker
Financial institutions receive hundreds, or even thousands of feedback items from their customers each day. Frontline employee teams can struggle to understand the nuances and changing regulations that may categorize feedback that they receive as a Complaint with regulatory implications. Complaints...
This solution identifies the various aspects from online product reviews for cooling fans. The following 9 aspects are identified: price, cooling, size and dimensions, build quality, installation, sound, airflow, looks and, performance. This enables companies to easily identify which aspects are...
Model Package - Fulfilled on Amazon SageMaker
This is a Extractive Question Answering model built upon a Text Embedding model from [PyTorch Hub](https://pytorch.org/hub/huggingface_pytorch-transformers/). It takes as input a pair of question-context strings, and returns a sub-string from the context as a answer to the question. The Text...
Model Package - Fulfilled on Amazon SageMaker
This solution identifies the various aspects from online product reviews for speakers. The following 4 aspects are identified: price, connectivity, aesthetics and, sound quality. This enables companies to easily identify which aspects are being reviewed. The information can be used to assess...
Model Package - Fulfilled on Amazon SageMaker
QAgent is an AWS native custom web app designed for Amazon Connect using Connect streams. Seamlessly integrates with all the Amazon Connect features and other AWS Key services to provide enhanced CX. Solution leverages the power of serverless technology to help growing businesses with their needs....
Starting from $0.10/hr or from $899.00/yr (1% savings) for software + AWS usage fees
This is a repackaged open source software product with optional support from Meetrix.io. Keep costs low with pay-as-you-go pricing, while gaining access to expert assistance as needed. Code Llama 70B is a collection of pretrained and fine-tuned generative text model with 70 billion parameters....
Linux/Unix, Ubuntu 22.04 - 64-bit Amazon Machine Image (AMI)
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