How Modern Transformer Blocks Work — From RMSNorm to MoE

Modern Transformer blocks have evolved beyond the original 2017 model to include advanced techniques like RMSNorm, GQA, RoPE, SwiGLU, and MoE, designed to enhance training efficiency, manage longer contexts, and reduce inference costs. These innovations are crucial as they push the boundaries of what large language models can achieve, enabling more powerful AI applications. Understanding these components helps in grasping how cutting-edge AI systems are becoming more sophisticated and effective.