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LLM Architecture·Artificial Intelligence
feed-forward layer

feed-forward layer

/ˌfiːd ˈfɔːrwərd ˌleɪər/

🧠 LLM Architecture

neural network layers that process each position independently after attention

feed-forward layer in a sentence

“Feed-forward layers transform the attention outputs into richer representations.”

Origin of feed-forward layer

Old English fēdan to nourish + Latin forward + layer

Related Words

layer normalization

a technique to stabilize training by normalizing activations across features

token

a sub-word unit that language models process, rather than whole words or characters

tokenization

the process of breaking text into tokens for model processing

attention mechanism

a system that lets each token attend to every other token in context, creating connections between distant parts

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

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