Yellow.ai's Dynamic Automation Platform (DAP) offers a powerful solution for automating conversations across various channels in a rapid and secure manner. Trusted by over 1100 enterprises, including renowned names like Sony, Dominos, Hyundai, Sephora, Waste Connections, Ferrellgas, and Randstad,...
Leveraging training data from thousands of contracts to properly identify and extract pertinent information, such as Assignment, Limitation of Liability, Termination for Cause, and Governing Law, this algorithm streamlines the review of contracts. The model utilizes semantic extraction to identify...
Model Package - Fulfilled on Amazon SageMaker
Flyfish – the first-ever 360-degree generative AI platform for digital sales, which enables brands to deliver highly personalized experiences using Consultative Sales AI. The platform transforms digital sales by assessing an individual's unique context, needs, and preferences to create a...
This solution identifies the various aspects and their corresponding sentiment from online product reviews for camera bags. The following 7 aspects are identified: purchase, durability, size, ergonomics, versatality, safety and, asthetics and the 3 sentiments identified are: positive, negative and,...
Model Package - Fulfilled on Amazon SageMaker
This solution identifies the various aspects and their corresponding sentiment from online product reviews for storage devices. The following 8 aspects are identified: price, storage capacity, size, build quality, ease of use, speed(read and write), support and, thermals and the 3 sentiments...
Model Package - Fulfilled on Amazon SageMaker
Starting from $0.10/hr or from $899.00/yr (1% savings) for software + AWS usage fees
Code Llama - Instruct 34B is an instruction fine-tuned and aligned variation of Code Llama. Instruction tuning continues the training process, but with a different objective. The model is fed a natural language instruction input and the expected output. This makes it better at understanding what...
Linux/Unix, Ubuntu 22.04 - 64-bit Amazon Machine Image (AMI)
Text Summarizer solution is an optimal way to tackle the problem of information overload by reducing the size of long documents into a few sentences . Neural-network-based models have the ability to automatically learn the distributed representation for sentences and documents. This summarizer is...
Model Package - Fulfilled on Amazon SageMaker
This solution analyzes textual description of incidents from ticket data to predict its category. It uses an attention based pretrained model to classify the tickets over a predefined set of incident categories using these textual descriptions. These incident categories along with the respective...
Model Package - Fulfilled on Amazon SageMaker
The solution categorizes mobile application reviews into four prominent categories based on user reviews: User Experience, Safety and Security, Functional stability, and Ease of use. Deep learning based simple transformer learners are used to classify the review into one of the above categories.
Model Package - Fulfilled on Amazon SageMaker
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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