Bert

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
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