Data Selection for Fine-tuning Large Language Models Using Transferred Shapley Values
2405 10292 Fine-Tuning Large Vision-Language Models as Decision-Making Agents via Reinforcement Learning The output embedding of the last token in the partial sequence is mapped via a linear transformation and softmax function to a probability distribution over possible values of the subsequent token. Further information about transformer layers and self-attention can be found in our […]
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