What are the key parameters that influence AI models like ChatGPT?
The key parameters include model architecture, training data, learning rate, and regularization techniques.
Can you explain how the training data affects the model's performance?
Absolutely! The quality and diversity of training data directly impact the model's ability to understand and generate language.
What role does the learning rate play in training an AI model?
The learning rate determines how quickly a model updates its weights during training. A high learning rate can lead to overshooting, while a low rate may slow down convergence.
Are there any specific regularization techniques that are commonly used?
Yes, techniques like dropout, L1/L2 regularization, and early stopping are commonly used to prevent overfitting.
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