History of LLM Evolution (5): Building the Path of Self-Attention — The Future of Language Models from Transformer to GPT
Building the Transformer architecture from scratch, deeply understanding core components like self-attention, multi-head attention, residual connections, and layer normalization.
LLMGPTDeep LearningTransformer