Happy Friday! Finally got some 🌞 in Seattle! For today’s Day 16 of Building an LLM from scratch, I Implemented#deeplearning #generativeai #womenwhocode #largelanguagemodels #womenintech a full Transformer block: causal multi-head self-attention → feed-forward network, wrapped with LayerNorm, residual connections, and dropout. Input and output shapes stay the same, but representations become context-enriched at every layer. This is the core unit that scales depth in transformers.