At Lelapa AI, we're committed to advancing language technology and broadening its reach with our specialized Vulavula Multilingual Named Entity Recognition (NER) Model, particularly designed for Africa's linguistic diversity. This innovative model efficiently identifies and categorizes named...
Model Package - Fulfilled on Amazon SageMaker
This is a Sentence Pair Classification model built upon a Text Embedding model from [TensorFlow Hub](https://tfhub.dev/google/experts/bert/pubmed/1). It takes a pair of sentences as input and classifies the input pair to 'entailment' or 'no-entailment'. The class label entailment implies the second...
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_base/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
This is a Sentence Pair Classification model built upon a Text Embedding model from [Hugging Face](https://huggingface.co/bert-large-uncased-whole-word-masking). It takes a pair of sentences as input and classifies the input pair to 'entailment' or 'no-entailment'. The class label entailment...
Model Package - Fulfilled on Amazon SageMaker
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SSAT.AI SOP Bot automates the L4 business process activity of teaching new employees standard operating procedures relevant to their job. This cuts costs and time in the L3 area-specific business process of onboarding new employees within the L2 HR business process area within the L1 company-wide...
Linux/Unix, Amazon Linux 2023 - 64-bit Amazon Machine Image (AMI)
Key Services: Deployment and Configuration: Our experts streamline the deployment process of Large Language Models on AWS, customizing configurations to align with your specific business requirements. Whether you're implementing GPT-3, BERT, or other LLMs, Matoffo ensures a seamless integration...
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This model is designed for automation of business communication. Technical walk-through video describing how to use the model: https://youtu.be/rDdC0ekIBd4 It can serve as basis for classification, automatic responses and other uses. For example see the demo implementation for CRM in Customer...
Model Package - Fulfilled on Amazon SageMaker
We help simplify the use of the AWS toolset and contact center solutions, so you can tap into the full potential of these world-renowned innovations and begin your Customer Experience Transformation as quickly as possible. The Rapid Start begins by assessing your business needs and readiness,...
Key phrase extractor uses end-to-end text extraction pipeline, text analysis and natural language processing techniques to automate key phrases/words extraction from text documents. This solution is based on unsupervised graph-based, topic-based, statistics-based algorithms for the construction of...
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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