This is a Sentence Pair Classification model built upon a Text Embedding model from [PyTorch Hub](https://pytorch.org/hub/huggingface_pytorch-transformers/). It takes a pair of sentences as input and classifies the input pair to 'entailment' or 'no-entailment'. The class label entailment implies...
Model Package - Fulfilled on Amazon SageMaker
Our support of the ecosystem technology with our MCX platform comprises of our strategic CX partners cover Genesys Cloud CX and Amazon Connect, allowing us to: • We provide proactive quality assurance through persistent proactive testing of employee and customer interactions, to ensure our clients...
This is a Sentence Pair Classification model built upon a Text Embedding model from [PyTorch Hub](https://pytorch.org/hub/huggingface_pytorch-transformers/). It takes a pair of sentences as input and classifies the input pair to 'entailment' or 'no-entailment'. The class label entailment implies...
Model Package - Fulfilled on Amazon SageMaker
This solution creates a knowledge graph based on entity-name pairs from data collected from multiple sources of information such as Wikipedia, company's website, CrunchBase etc. This solution creates a graph model of a company's profile based on unstructured data.
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
John Snow Labs - Healthcare NLP Libraries are designed to help organizations extract insights from unstructured documents and enable faster, more accurate data analysis. Healthcare NLP is a cutting-edge natural language processing solution designed specifically for the healthcare domain, leveraging...
Linux/Unix, Ubuntu 22.04 - 64-bit Amazon Machine Image (AMI)
Auditor name extraction from financial statements is an NLP based data extraction model for information retrieval. The solution uses NLP parsers combined with clustering and classification methodology to extract Auditor’s name. The solution applies NLP to extract word agnostic patterns from...
Model Package - Fulfilled on Amazon SageMaker
deepset Cloud is a SaaS platform designed for enterprise AI teams focused on delivering LLM-enabled applications within a limited timeframe. With a set of proven and trusted tools, along with practical workflows, deepset Cloud stands out for its model-agnostic and provider-neutral approach,...
Systems can search through similar content through vector similarity computations. This solution uses Generative AI to help customize the LLM model that embeds the vector to understand the nature of questions and domain semantics. Alignment of embeddings using custom finetuned LLMs helps improve...
Algorithm - Fulfilled on Amazon SageMaker
This is a Sentence Pair Classification model built upon a Text Embedding model from [PyTorch Hub](https://pytorch.org/hub/huggingface_pytorch-transformers/). It takes a pair of sentences as input and classifies the input pair to 'entailment' or 'no-entailment'. The class label entailment implies...
Model Package - Fulfilled on Amazon SageMaker
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