AI030
Generative AI Foundations in Python
The Evolution of NLP and the Transformer Architecture
Learning Objectives
- Analyze the limitations of RNNs and LSTMs in handling long-range dependencies
- Define the mathematical foundations of the Self-Attention mechanism
- Deconstruct the Transformer encoder-decoder architecture and its components
- Evaluate the role of positional encoding and multi-head attention in sequence modeling