Here are 10 more question:
What kind of neural network architecture was used to create you?
How were the hyperparameters for your architecture chosen?
How is your training data selected and preprocessed?
What are the main components of your attention mechanism?
Can you explain how your language model generates text outputs?
What kind of optimization algorithm is used to train your model?
What are the most computationally expensive aspects of your architecture during training and inference?
How is your model fine-tuned or adapted to new tasks or domains?
Can you explain how transfer learning is used in your architecture?
How are you able to generate responses to user input in real time?
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