An unembedding matrix is the final learned weight matrix in a large language model (LLM) that maps the model’s output vectors back into vocabulary token probabilities.
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An unembedding matrix is the final learned weight matrix in a large language model (LLM) that maps the model’s output vectors back into vocabulary token probabilities.
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