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Related Questions
- What are the key hyperparameters that affect the generalization ability of a large language model (LLM)?
- How does the choice of activation function in a transformer-based LLM impact its ability to generalize to new data?
- What is the role of learning rate scheduling in hyperparameter tuning for LLMs, and how does it affect generalization performance?
- How does the batch size and sequence length impact the generalization ability of a pre-trained LLM when fine-tuning on a new task?
- Can you explain the relationship between regularization techniques (e.g., dropout, weight decay) and generalization in LLMs?
- What is the effect of the number of training epochs on the generalization performance of a pre-trained LLM when fine-tuning on a new task?
- How does the choice of optimizer (e.g., Adam, SGD, RMSProp) impact the generalization ability of a pre-trained LLM when fine-tuning on a new task?
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