Generative AI from First Principles Article 10 (Why GPT Has No Encoder: How Decoder-Only…

1. 1Read the Transformer paper to understand the basics of encoder-decoder architectures
2. 2Analyze the GPT architecture and identify the key components that enable its decoder-only design
3. 3Implement a simple decoder-only model using a popular deep learning framework like PyTorch or TensorFlow
4. 4Compare the performance of the decoder-only model with a traditional encoder-decoder model on a benchmark dataset
5. 5Apply the insights from the comparison to optimize the architecture of a GPT-like model

NLP engineers and researchers can benefit from understanding the design choices behind GPT's architecture, which can inform their own model development and optimization

💡 GPT's decoder-only architecture is designed to efficiently generate text by leveraging the power of self-attention and masking

🤖 Why does GPT use a decoder-only architecture? Learn the answer and how it achieves high performance without an encoder