Self-attention draws an analogy from information retrieval systems. For every token, we create three vectors:
# Concatenate heads and pass through final linear layer out = out.reshape(N, query_len, self.heads * self.head_dim) return self.fc_out(out) build a large language model from scratch pdf
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