Discover why modern LLMs like GPT-3 stack dozens of identical transformer blocks. Learn how iterative refinement builds hierarchical abstractions, enabling complex reasoning and emergent capabilities through depth.
Discover how self-attention powers large language models. Learn the query-key-value mechanism, multi-head attention, and why Transformers outperform RNNs in understanding context.