AIAhead of AI12 months ago
The Big LLM Architecture Comparison
71 min read
Sebastian Raschka compared LLM architectures from GPT-2 (2019) to DeepSeek V3 and Llama 4 (2024-2025). Positional embeddings evolved from absolute to RoPE, Multi-Head Attention gave way to Grouped-Query Attention, and SwiGLU replaced GELU. The article focuses on structural changes, not benchmark performance.
Level
Hype check
Tap to vote and see what everyone thinks.
