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Classification-Text (133 results) showing 11 - 20


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Embedding models are neural networks that convert documents into numerical vectors. They are a crucial building block for retrieval systems, semantic search, and retrieval-augmented generation (RAG). voyage-finance-2 is optimized for finance domain retrieval and RAG. It demonstrates superior...

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H2O’s Deep Learning is based on a multi-layer feedforward artificial neural network that is trained with stochastic gradient descent using back-propagation. The network can contain a large number of hidden layers consisting of neurons with tanh, rectifier, and maxout activation functions. Advanced...

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This is a Sentence Pair Classification model built upon a Text Embedding model from [Hugging Face](https://huggingface.co/bert-base-uncased). It takes a pair of sentences as input and classifies the input pair to 'entailment' or 'no-entailment'. The class label entailment implies the second...

Model Package - Fulfilled on Amazon SageMaker

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Embedding models are neural networks that convert documents into numerical vectors. They are a crucial building block for retrieval systems, semantic search, and retrieval-augmented generation (RAG). voyage-multilingual-2 is optimized for multilingual retrieval and RAG. It demonstrates superior...

Model Package - Fulfilled on Amazon SageMaker


This is a Sentence Pair Classification model built upon a Text Embedding model from [Hugging Face](https://huggingface.co/bert-base-multilingual-cased). It takes a pair of sentences as input and classifies the input pair to 'entailment' or 'no-entailment'. The class label entailment implies the...

Model Package - Fulfilled on Amazon SageMaker

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jina-embeddings-v2-base-code is an open-source coding embedding model supporting 8192 sequence length. This state-of-the-art AI embedding model enables many applications, such as code review, static analyses, documentation assistance, code search, or retrieval augmented generation (RAG).

Model Package - Fulfilled on Amazon SageMaker


The Big 5 personality analyser takes input text from a user and assigns score on the Big 5 personality traits (Openness, Conscientiousness, Extraversion, Agreeableness, Neuroticism). The underlying algorithm utilises Natural Language Processing and computational psycho-linguistics to assign the...

Model Package - Fulfilled on Amazon SageMaker


ASAPP AutoSummary increases agent productivity by fully automating call wrap, which typically consumes 10-20% of AHT. AutoSummary offers consistent quality across your contact center, removes agent bias, and enables valuable custom insights and data extraction. Why ASAPP AutoSummary - Targeted,...


Cohere’s Classification Finetuning enables you to train and deploy classification models with a few lines of code. Using as few as 2 examples per label, users are able to train custom models to classify text based on semantic meaning (results will vary depending on the classification task at hand -...

Algorithm - Fulfilled on Amazon SageMaker


Cohere’s Classification Finetuning enables you to train and deploy classification models with a few lines of code. Using as few as 2 examples per label, users are able to train custom models to classify text based on semantic meaning (results will vary depending on the classification task at hand -...

Algorithm - Fulfilled on Amazon SageMaker