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Related Questions
- What are the key differences between Adam and SGD optimizers in the context of Large Language Models (LLMs)?
- How do Adam and SGD optimizers impact the training process of LLMs, and what are the implications for model performance?
- Can you explain the adaptive learning rate mechanism in Adam optimizer and how it compares to the fixed learning rate in SGD?
- In what scenarios would you recommend using Adam over SGD, and vice versa, for training LLMs?
- How do the hyperparameters of Adam and SGD optimizers, such as learning rate and momentum, affect the convergence of LLMs?
- Can you provide a comparison of the convergence rates of Adam and SGD optimizers on a typical LLM training task?
- Are there any specific LLM architectures or tasks where one optimizer is more suitable than the other?
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