Dive into the world of advanced natural language processing with this comprehensive tutorial on NLP with BERT. Explore the revolutionary impact of transformers and BERT on state-of-the-art NLP techniques. Learn about sequence-to-sequence models, the architecture of transformers, and their applications in machine translation and next sentence prediction. Gain hands-on experience with text summarization using PyTorch, and discover the inner workings of BERT, including its use cases and practical applications. Master the fundamentals of these cutting-edge technologies through a well-structured curriculum covering key topics such as transformer architecture, BERT's functionality, and real-world implementations in NLP tasks.

Syllabus

Introduction.
Sequence to Sequence Model.
Introduction to Transformers in NLP.
Text Summarization using PyTorch.
Introduction to BERT.
Use Case for BERT.
Summary.