# BERT Large Uncased Reviews
**Vendor:** Amazon Web Services (AWS)  
**Category:** [AWS Marketplace Software](https://www.g2.com/categories/aws-marketplace)
## About BERT Large Uncased
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 sentence entails the first sentence, and the no-entailment implies it does not. The Text Embedding model which is pre-trained on English Text returns an embedding of the input pair of sentences. The model available for deployment is created by attaching a binary classification layer to the output of the Text Embedding model, and then fine-tuning the entire model on [QNLI](https://rajpurkar.github.io/SQuAD-explorer/ ) dataset. PyTorch, the PyTorch logo and any related marks are trademarks of Facebook, Inc.






- [View BERT Large Uncased pricing details and edition comparison](https://www.g2.com/products/bert-large-uncased/reviews?section=pricing&secure%5Bexpires_at%5D=2026-05-27+00%3A59%3A22+-0500&secure%5Bsession_id%5D=c1a20c6c-e0dd-4586-8c57-e9227c78fca9&secure%5Btoken%5D=da3fa4b5b4f50e117f61927e6d87f6f99e52a414f0c13774237a322aaa777cc6&format=llm_user)

## BERT Large Uncased Features
**Agentic AI - AWS Marketplace**
- Autonomous Task Execution
- Multi-step Planning
- Cross-system Integration