Transformer-Based Models
Introduction to BERT and GPT.
1
Transformer-Based Models
Transformer models have revolutionized NLP by enabling highly accurate and efficient language understanding and generation. Examples include BERT, GPT, and T5.
These models use attention mechanisms to process words in the context of their surrounding words, making them highly effective for various NLP tasks.
2
What are Transformers?
Transformers are deep learning models that use attention mechanisms to weigh the importance of words in a sentence relative to one another. They excel in capturing contextual relationships between words.
Key innovations include:
- Self-Attention: Allows the model to focus on relevant parts of a sentence.
- Positional Encoding: Helps the model understand word order.
All lessons in this course
- Working with Text Data
- Tokenization and Normalization
- N-Gram Models
- Sentiment Analysis Concepts
- Transformer-Based Models