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 LLM

2025

Transformer architecture variation: RMSNorm 05-11
Weight Tying in Language Models: A Technique to Parameter efficiency 03-11
What is Multi-Head Attention (MHA) 03-04
An Explanation of Self-Attention mechanism in Transformer 03-02
The Flow of GraphRAG 02-12

2024

Reading Notes: Generalization through Memorization: Nearest Neighbor Language Models 12-23
Reading Notes: In-Context Retrieval-Augmented Language Models 12-04

2023

LLM inference optimization - KV Cache 10-12
BPE Tokenization Demystified: Implementation and Examples 08-24
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