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Starting from $0.49/hr or from $3,528.00/yr (18% savings) for software + AWS usage fees

Philter deidentifies and redacts sensitive information, such as Personally Identifiable Information (PII) and Protected Health Information (PHI),in text. Common uses of Philter include helping maintain HIPAA compliance, serving as an AI policy layer, redacting AI training data, and allowing for...

Linux/Unix, Ubuntu ubuntu-focal-20.04-amd64-server-20201026 - 64-bit Amazon Machine Image (AMI)


hyScore.io is an independent provider of innovative Natural Language Processing (NLP) solutions in multiple languages combined with AI and Machine Learning (ML). With hyScore analyze you use a NLP solution that provides valuable insights from any text or website in real-time as a structured JSON...

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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...

Model Package - Fulfilled on Amazon SageMaker

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  • Version v0.6.3
  • By MK1

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...

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 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

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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


With DeepScribe, healthcare organizations can provide their clinicians with an AI scribe that can be customized by each specialty group and by each individual clinician. Unlike other AI scribe companies, DeepScribe is 100% customizable, empowering clinicians to create complete and accurate...


Starting from $0.10/hr or from $899.00/yr (1% savings) for software + AWS usage fees

The "Llama 2 AMI 13B": Dive into the realm of superior large language models (LLMs) with ease and precision. This Amazon Machine Image is pre-configured and easily deployable and encapsulates the might of 13 billion parameters, leveraging an expansive pretrained dataset that guarantees results of a...

Linux/Unix, Ubuntu 22.04 - 64-bit Amazon Machine Image (AMI)


This API returns sentiment analysis results with score for the given text. Find out the tone of a user comment or post. This is helpful when you have a lot of unstructured data like Twitter comments or user feedback where you need to sort or identify the most favorable and most unfavorable comments.