LLM Architectures 🏗️
Explore the underlying architectures that power modern Large Language Models.
Transformer Architecture
Learn about the backbone architecture behind models like GPT and BERT.
Attention Mechanism
Explore the attention mechanism that powers modern language models.
Feedforward Neural Networks
Understand the feedforward components in LLM architectures.
Self-Attention vs. Cross-Attention
Compare self-attention and cross-attention layers in transformer models.
Encoder-Decoder Models
Delve into models like T5 that use both encoder and decoder layers.
Positional Encoding
Learn how positional encodings are used to represent word order in sequences.
Layer Normalization
Explore how layer normalization improves training stability in deep networks.