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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


jina-colbert-reranker-v1-en is an open-source English ColBERT-based reranking model. ColBERT (Contextualized Late Interaction over BERT) leverages the deep language understanding of BERT while introducing a novel interaction mechanism. This mechanism, known as late interaction, allows for...

Model Package - 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


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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A powerful tool that delivers unmatched accuracy and efficiency, specifically built to handle the complexities of medical terminology. This model was rigorously tested against leading services and baselines. The results speak for themselves: - Higher BLEU scores in medical translations compared to...

Model Package - Fulfilled on Amazon SageMaker


In search engines, the way search is conducted varies based on purpose, information needed, and the available resources within a business process. This solution uses state-of-the-art GenAI techniques and Anthropic Claude to customize the embedding LLM model to capture the nature of questions and...

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


Unlock the boundless potential of Generative AI (GenAI) on AWS with the PREDICTif GenAI Workshop. This exclusive offering is your gateway to harnessing GenAI's limitless possibilities and driving business growth like never before. With PREDICTif's extensive expertise and experience as your guiding...


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