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Command R+ is a highly performant generative large language model, optimized for a variety of use cases including reasoning, summarization, and question answering. Command R+ has the capability for multilingual generation evaluated in 10 languages and highly performant RAG capabilities. This...
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/roberta-large). 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 sentence...
Model Package - Fulfilled on Amazon SageMaker
The solution uses Generative AI to generate complex SQL queries leveraging bedrock claude(LLM) modelgiven a question prompt. The solution also validates the generated queries by testing them with sample data to ensure a smooth run without any errors. The solution requires only two input files...
Model Package - Fulfilled on Amazon SageMaker
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This model extracts more than 40 oncology-related entities, including therapies, tests, staging, histological type, oncogene, and radiation dose from clinical documentation, pathology, and diagnostic reports, optimizing oncology workflows and advancing personalized cancer treatments. It also...
Model Package - Fulfilled on Amazon SageMaker
This solution identifies the various aspects and their corresponding sentiment from online product reviews for keyboards and mouse. The following 4 aspects are identified: price, usability, build and, installation and the 3 sentiments identified are: positive, negative and, neutral. This enables...
Model Package - Fulfilled on Amazon SageMaker
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Command R is a highly performant generative large language model, optimized for a variety of use cases including reasoning, summarization, and question answering. Command R has the capability for multilingual generation evaluated in 10 languages and highly performant RAG capabilities. This variant...
Model Package - Fulfilled on Amazon SageMaker
This is a Text Classification model built upon a Text Embedding model from [TensorFlow Hub](https://tfhub.dev/tensorflow/bert_en_wwm_uncased_L-24_H-1024_A-16/2). It takes a text string as input and classifies the input text as either a positive or negative movie review. The Text Embedding model...
Model Package - Fulfilled on Amazon SageMaker
This is a Text Summarization model built upon a Transformer model from [Hugging Face](https://huggingface.co/sshleifer/distilbart-cnn-6-6). The deployed model can be used for running inference on any English input text.
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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The MK1 Flywheel runtime offers an optimized endpoint to run realtime inference on large language models with superior throughput and low latency, even on single-GPU configurations. For those planning on larger scale deployments, we provide personalized support and information to help scale your...
Algorithm - Fulfilled on Amazon SageMaker
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