Sebastian Raschka has created an LLM Architecture Gallery featuring detailed architecture diagrams and fact sheets for major language models from GPT-2 to recent releases like Llama 3 and OLMo 2. The gallery serves as a visual reference comparing decoder architectures, attention mechanisms, and normalization techniques across different model families. It's available as a high-resolution digital resource and physical poster, providing educational value for researchers and practitioners.
Background
Large Language Models have evolved significantly since GPT-2, with various architectural innovations in attention mechanisms, normalization techniques, and decoder designs. Researchers need clear visual references to understand these technical differences across model families.
- Source
- Lobsters
- Published
- Mar 16, 2026 at 12:07 PM
- Score
- 6.0 / 10