Neural Networks, Gpt, Machine Learning, AI, ChatGPT.
hinder the effectiveness of gradient-based optimization algorithms, such as gradient descent, which rely on stable and well-scaled gradients for proper weight updates. These issues may require additional techniques like gradient clipping, regularization methods, or more advanced RNN architectures