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Natural Language Processing (658 results) showing 531 - 540



Optimal Conversation™ Studio is an automated knowledge curation cloud service for developing and managing enterprise virtual assistants. OC Studio provides a machine teaching workflow that complements Amazon Lex and Amazon Kendra to enable enterprises to build and manage omni-channel conversational...


Cognigy is revolutionizing the customer service industry by providing the most cutting-edge AI workforce on the market. Its award-winning solution empowers businesses to deliver exceptional customer service that is instant, personalized, in any language, and on any channel. Through the perfect...


Amazon Connect Voice ID, a feature of Amazon Connect, uses machine learning to provide real-time caller authentication and fraud risk detection to make voice interactions faster and more secure. Historically, contact centers have used a time-consuming knowledge-based authentication process where...


This is a Text Summarization model built upon a Transformer model from [Hugging Face](https://huggingface.co/sshleifer/distilbart-xsum-1-1). The deployed model can be used for running inference on any English input text.

Model Package - Fulfilled on Amazon SageMaker


This solution analyzes customer complaints about Money Transfer services to identify the key topics. The solution clusters customer complaints into topics based on the narratives provided. Given a set of customer complaints, this solution identifies the top three issues. This automates the task of...

Model Package - Fulfilled on Amazon SageMaker

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This is quantized version of Solar Mini Chat. Solar Mini Chat is a compact yet powerful advanced English/Korean large language model. It is specifically fine-tuned for multi-turn chat purposes, demonstrating enhanced performance across a wide range of natural language processing tasks. This...

Model Package - Fulfilled on Amazon SageMaker


This solution identifies the various aspects from online product reviews for tablet cases. The following 7 aspects are identified: Value for Money, Build Quality, Dimensions and Weight, Case Fit, Ease of Handling, Design and Looks and Protection. This enables companies to easily identify which...

Model Package - Fulfilled on Amazon SageMaker


This is a Machine Translation model built upon a Transformer model from [Hugging Face](https://huggingface.co/t5-small). It takes a text string as input and predicts its translation.

Model Package - Fulfilled on Amazon SageMaker


This solution takes in the unlabeled dataset and obtains weak labels using BERT based pre-trained model for sentiment classification. It also identifies the errors present in the generated weak labels using confidence learning methods using the predicted probability scores.The output contains...

Model Package - Fulfilled on Amazon SageMaker


This solution identifies the various aspects from online product reviews for USB cables. The following 7 aspects are identified: price, length, build finish, fit, charging, performance and warranty. This enables companies to easily identify which aspects are being reviewed. This information can be...

Model Package - Fulfilled on Amazon SageMaker