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Related Questions
- What is the main idea behind Bayesian optimization, and how does it differ from other hyperparameter tuning methods?
- How does Bayesian optimization work in the context of LLM models, and what are the key components involved?
- What are the benefits of using Bayesian optimization for hyperparameter tuning in LLM models, and when is it particularly useful?
- Can you explain the concept of acquisition functions in Bayesian optimization, and how they influence the search process?
- How does Bayesian optimization handle noisy or expensive objective functions, and what techniques are used to mitigate these issues?
- What are some common challenges or limitations of Bayesian optimization in LLM models, and how can they be addressed?
- Can you provide an example of how Bayesian optimization can be used to optimize hyperparameters in a specific LLM model, such as BERT or RoBERTa?
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