Bidirectional Encoder Representations Transformers’ is a natural language processing by a neural network-based technique for pre-training. In simpler words. it helps search engines contextualize content for better understanding and matching with queries. It helps advance the natural language toolkit through coding and a pre-trained model.

Project Background

• Project: Natural Language Processing Transformer
• Author: Jacob Devlin
• Initial Release: 2018
• Type: Machine Learning, Transformer Language Model
• License: Apache 2.0 Licence
• Contains: BERT (Base) and BERT (Large)
• GitHub: /bert with 29.5k stars and 28 contributors
• Twitter: None

Applications

• Intended for environments with restricted computational resources.
• Effective in the context of knowledge distillation
• Natural language processing
• Next sentence prediction