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Omission of Bias Terms in LLM Affine Transformations
A popular model design in Large Language Models (LLMs) is the removal of bias terms in affine transformations. This architectural choice can be applied to several components, including layer normalization, the transformations of inputs to QKV attention mechanisms, and feed-forward networks (FFNs).
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Foundations of Large Language Models
Ch.2 Generative Models - Foundations of Large Language Models
Foundations of Large Language Models Course
Computing Sciences
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Omission of Bias Terms in LLM Affine Transformations