This is a Sentence Pair Classification model built upon a Text Embedding model from [TensorFlow Hub](https://tfhub.dev/google/electra_base/1). 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
Topic Modeling is a powerful text analysis tool for discovering hidden patterns and trends in large collections of text documents. Leveraging the power of the advanced transorfmer based models, this solution employs state-of-the-art natural language processing techniques and machine learning...
Model Package - Fulfilled on Amazon SageMaker
Conversational analytics is one area which has seen significant investment from AWS over recent years. Contact Lens for Amazon Connect provides a set of conversational analytics and quality management capabilities, powered by machine learning. It helps you to understand and address customer issues,...
NUA's Methodology: Getting call center information (Flows, # inbound/outbound Calls, chatbots, etc) Nua is going to send a private offer. Customers must accept the offer. Customers select which AWS account will be used. (new or current) NUA configurates Amazon Connect depending on scope (users,...
Starting from $0.10/hr or from $899.00/yr (1% savings) for software + AWS usage fees
Orca 2 models are trained using a teacher-student scheme, where a larger, more powerful LLM acts as a teacher for a smaller student LLM, with the goal of improving the performance of the student to be comparable with that of a larger model. When evaluated on benchmarks, The 7B parameter Orca 2 was...
Linux/Unix, Ubuntu 22.04 - 64-bit Amazon Machine Image (AMI)
This is a Machine Translation model built upon a Transformer model from [Hugging Face](https://huggingface.co/Helsinki-NLP/opus-mt-en-es). It takes a text string as input and predicts its translation.
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
Latent semantic analysis (LSA) is a technique in natural language processing, in particular distributional semantics, of analyzing relationships between a set of documents and the terms they contain by producing a set of concepts related to the documents and terms.
Algorithm - Fulfilled on Amazon SageMaker
This solution identifies the various aspects from online product reviews for cameras. The following 10 aspects are identified: price, picture quality, build quality, ease of use, battery life, shutter/mode, lense, focus, low light, and viewfinder. This enables companies to easily identify which...
Model Package - Fulfilled on Amazon SageMaker
A high frequency of issues can generate an overwhelming number of tickets and incorrect delegation to teams to handle them. This leads to a spike in MTTR (mean time taken to resolve) and a dip in FCR (First Call Resolution). The solution mitigates these issues by training a multi-factor ML model...
Algorithm - Fulfilled on Amazon SageMaker
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