Philter deidentifies and redacts sensitive information, such as Personally Identifiable Information (PII) and Protected Health Information (PHI), in text.
This product has charges associated with it for pre-installed Word Explanation FastAPI - Ubuntu 22.04
This is a Named Entity Recognition model built upon a Transformer model from Hugging Face
Text embedding model optimized for general-purpose (including multilingual) retrieval/search and AI applications. 32K context length.
Machine learning based customer complaint ticket triaging model to improve accuracy of ticket assignments and thereby improve FCR and MTTR.
This solution helps in processing textual data to identify named entities present in the corpus of text.
This is a Sentence Pair Classification model built upon a Text Embedding model from Hugging Face
Understands the image and explains it in text without losing any details.
This is a Extractive Question Answering model from PyTorch Hub
Machine learning based service desk ticket triaging model to improve accuracy of ticket assignments and thereby improve FCR and MTTR.
Mask or Obfuscate Personal Health Information (PHI) in Spanish clinical notes.
Identify key risk factors from medical documents
Rerank will return a sorted list of documents based on the semantic similarity between the query and documents.
ColBERT multi-vector embedding model for multilingual text input of size up to 8192 tokens
SuperDesk is a powerful, AI-driven service desk solution designed to streamline support workflows, improve productivity, and enhance customer service. Leveraging Amazon Bedrock, Amazon SageMaker, or Databricks DBRX, SuperDesk seamlessly integrates with platforms like ServiceNow, Jira, Zendesk, Salesforce, and Hubspot. It automates incident management, supports knowledge-base augmentation, and provides personalized customer interactions. Deployed directly in your AWS account, SuperDesk ensures security and control over your data while delivering faster response times, reduced operational costs, and exceptional service experiences.
This is an easily deployable AMI for Code Llama 70B Instruct, which is an AI model built on top of Llama 2, fine-tuned for generating and discussing code. It is a large language model (LLM) that can use text prompts to generate and discuss code. It has the potential to make workflows faster and more efficient for developers and lower the barrier to entry for people who are learning to code. Code Llama has the potential to be used as a productivity and educational tool to help programmers write more robust, well-documented software.
Cohere provides a representative AI model, Embed, that translates text into numerical vectors that models can understand.
This is a Text Classification model from TensorFlow Hub
This model will generate lyrics for your next Billboard-topping single
Liquid LFM 40B is designed to handle complex tasks, offering an optimal balance between size and output quality.
ILLUIN Dialogue is a platform where you can easily manage the most advanced generative conversational agents on the market
Optimized for low-latency processing of long prompts, enabling fast analysis of lengthy documents and data.
This is a single-click deployment AMI for Orca 2 13B LLM, which is a fine-tuned version of Llama 2 that performs better than models that contain 10x the number of parameters. Orca 2 uses a synthetic training dataset and a new technique called Prompt Erasure to achieve this performance.
This solution helps in extracting parent and subsidiary organization relations from text documents.
Command R 08-2024 is a generative language model optimized for large scale production workloads.
Rerank will return a sorted list of documents based on the semantic similarity between the query and documents in over 100 languages.
Extract socio-environmental health determinants
Introducing Palmyra-X-004: Our Flagship General-Purpose LLM Delivering Unparalleled Performance and Speed Across Diverse Applications.
Meltwater empowers companies with a suite of solutions that span media social consumer & sales intelligence. We analyze 1 billion pieces of content each day and transform them into actionable insights that drive results.
Quantiphi’s AWS Gen AI advisory series is a 4-day offering designed to equip businesses with comprehensive knowledge and practical expertise in Generative AI. Through interactive sessions, expert-led discussions, and hands-on labs, this series empowers participants to identify and prioritize use cases based on their organization's requirements, incorporating AI into their business strategy with the support of AWS Gen AI services and Quantiphi's expertise. Join us on this immersive journey to embrace the full potential of Generative AI on AWS to drive growth and success unique to your business needs.