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
Starting from $2.50 to $2.50/hr for software + AWS usage fees
To make the most out of search engine software like OpenSearch, 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...
Linux/Unix, Ubuntu 22.04 - 64-bit Amazon Machine Image (AMI)
In today's era of GenAI reliance, the lack of an evaluation metric for factual consistency poses a challenge due to hallucination. Our solution addresses this by offering a unique method to verify the accuracy of LLM model-generated responses, leveraging Claude from Anthropic as the foundation...
Model Package - Fulfilled on Amazon SageMaker
This is a Text Classification model built upon a Text Embedding model from [TensorFlow Hub](https://tfhub.dev/google/electra_small/1). It takes a text string as input and classifies the input text as either a positive or negative movie review. The Text Embedding model which is pre-trained on...
Model Package - Fulfilled on Amazon SageMaker
Note: This product is available for IBM Embed Solution Contracted Partners only. Learn more at https://ibm-mkpl-cp4d.s3.amazonaws.com/AWS-Build-with-IBM.pdf Build applications with enterprise-grade speech technology. IBM Watson® Speech Libraries for Embed are containerized text-to-speech (TTS)...
The Provectus machine learning and data team has developed an approach to help enterprises quickly adopt the most impactful Generative AI use cases, this process will include business teams who will use the applications to align to their requirements. This offer is divided into 2 discrete...
The MTTR (Mean Time to Resolution) predictor is an AI/ML based solution which predicts the time taken by a service agent to solve a specific ticket or an incident request. The solution learns the efficiency, experience and workload management metrics for various ticket types solved by service...
Model Package - Fulfilled on Amazon SageMaker
Text Pre-processor solution is an efficient way of automatically cleaning text data to make it ready for further text analytics. The model takes a corpus of text as input file and an optional Stop_Words file for stop words removal and applies NLP to generate a processed output containing tokenized...
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_cased_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 which...
Model Package - Fulfilled on Amazon SageMaker
DeepInsights Semantic Triplet Generator is a novel approach of summarizing/converting an unstructured data corpus into query-able triplets of Subject-Predicate-Object using NLP. This creates the basic blocks of Resource Description Framework (RDF) data model which forms the basis of Q&A systems,...
Model Package - Fulfilled on Amazon SageMaker
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