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LLM Architecture·Artificial Intelligence
layer normalization

layer normalization

/ˈleɪər ˌnɔːrməlaɪˈzeɪʃən/

🧠 LLM Architecture

a technique to stabilize training by normalizing activations across features

layer normalization in a sentence

“Layer normalization helps transformers train more stably on long sequences.”

Origin of layer normalization

Latin norma carpenter's square, rule + -ization

Related Words

token

a unit produced by a tokenizer for model processing; it may represent a word, subword, character, punctuation mark, or byte sequence

tokenization

the process of breaking text into tokens for model processing

attention mechanism

a mechanism that weights relationships among token positions; causal language models normally restrict each position to earlier context

transformer

the neural network architecture underlying modern LLMs, based on self-attention

autoregressive generation

producing output one token at a time, where each token depends on all previous tokens

context window

the finite token budget a model can process for a request, including instructions, inputs, prior turns, tool data, and generated output

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