Introducing VNLP, the cutting-edge sentiment analysis product that helps you understand the sentiment and emotions behind Turkish text. Our state-of-the-art natural language processing technology analyzes text data quickly and accurately, enabling you to gain insights into your customers’ opinions,...
Model Package - Fulfilled on Amazon SageMaker
This is an Image Classification model from [TensorFlow Hub](https://tfhub.dev/google/imagenet/inception_v3/classification/4). It takes an image as input and classifies the image to one of the multiple classes. The model available for deployment is pre-trained on ImageNet which comprises images of...
Model Package - Fulfilled on Amazon SageMaker
The text similarity analyser finds pairwise similarity between textual content. This helps in identifying if the textual contents have similar verbatim and contextual information. Higher similarity value means the text content have very similar contextual information and are written in similar...
Model Package - Fulfilled on Amazon SageMaker
This post-pandemic Propensity Model determines the probability that a US adult has High Blood Pressure. Lift over Random 5.12. This post-pandemic Propensity model is one of a series of consumer classification models based on data from over 17,000 US adults surveyed in 2021 from Prosper's US Media...
Model Package - Fulfilled on Amazon SageMaker
This is an Image Classification model from [TensorFlow Hub](https://tfhub.dev/google/imagenet/mobilenet_v2_050_224/classification/4). It takes an image as input and classifies the image to one of the multiple classes. The model available for deployment is pre-trained on ImageNet which comprises...
Model Package - Fulfilled on Amazon SageMaker
This post-pandemic Propensity Model determines the probability that a US adult will Purchase Adidas. Lift over Random 1.17. This post-pandemic Propensity model is one of a series of consumer classification models based on data from over 17,000 US adults surveyed in 2021 from Prosper's US Media...
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
Prosper Insights & Analytics' propensity model predicts the probability that a U.S. adult consumer has a specific health condition. Based on a set of basic demographics, the model identifies individuals who are likely to have the health condition. The model was trained with data from Prosper's...
Model Package - Fulfilled on Amazon SageMaker
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
showing 1021 - 1030