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The Clinical De-Identification model is designed to recognize and anonymize PHI in Italian-language clinical notes. It employs state-of-the-art natural language processing techniques to detect sensitive information such as patient names, addresses, medical record numbers, and other identifiers....
Model Package - Fulfilled on Amazon SageMaker
A modern-day contact center has numerous moving parts, ranging from customer engagement applications, queuing, and routing systems, to CRMs and workforce optimization solutions. Running this complex ecosystem seamlessly and harmoniously is critical to reducing customer effort and delivering...
Built on OpenAI (ChatGPT), Google and on-premise large language models to answer any questions in natural language and real-time. These can be used to develop online mentors and assistants for students, instructors and customer support. Knowledge Base Trained on your custom knowledge base by...
The CloudHesive GenAI (Generate AI) assessment helps AWS Customers to understand and position AI/ML (Artificial Intelligence/Machine Learning) services for your business and customers effectively. The assessment covers various topics related to AI/ML, including: Overview of AI/ML on AWS:...
To make the most out of search engine software like Elasticsearch, when dealing with Hebrew texts a dedicated conversion layer (Analyzer) has to be used in order for Hebrew to even be searchable, and to leverage the full range of features provided by the search engine itself. Eyfo's Hebrew Search...
Friendli Dedicated Endpoints is our SaaS service for deploying generative AI models that runs our flagship LLM serving engine, previously known as PeriFlow, on various cloud platforms. Our Friendli Engine cuts LLM inference serving costs by 40~80% while providing low latency and high throughput LLM...
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
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Embedding models, a crucial building block for retrieval systems, semantic search, and retrieval-augmented generation (RAG), are neural networks that convert documents into numerical vectors. Voyage-law-2 is a cutting-edge embedding model that is trained particularly for semantic retrieval of legal...
Model Package - Fulfilled on Amazon SageMaker
VARCO LLM 2.0 is NCSOFT's large language model that can be applied to the development of various natural language processing-based AI services such as text generation, question answering, chatbots, summarization, and information extraction. NCSOFT's VARCO LLM 2.0 was developed with our own...
Model Package - Fulfilled on Amazon SageMaker
Sentiment Analyzer expresses a positive, negative and neutral sentiment given a text like tweets, messages, emails, blogs, reviews, forum discussions, and social posts. This module uses text analysis, natural language processing, transfer learning and deep learning techniques to predict sentiment...
Model Package - Fulfilled on Amazon SageMaker
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