Tags
RoPE
LLM Engineering (6): Long Context — RoPE, YaRN, Sinks
How RoPE encodes position, why naive extension breaks, NTK-aware and YaRN scaling, ALiBi vs RoPE, attention sinks for streaming, and why 1M-context claims often fail at retrieval.
NLP (9): Deep Dive into LLM Architecture
Inside modern LLMs: pre-norm + RMSNorm + SwiGLU + RoPE + GQA, KV cache mechanics, FlashAttention's IO-aware schedule, sparse Mixture-of-Experts, and INT8 / INT4 quantization.

