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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.
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