Fix FloatingPointError

✅ Solution

FloatingPointError in JAX often arises from operations like division by zero or overflow when using lower precision floats like float32, especially within functions like `dot_product_attention` if intermediate values become too large. To mitigate this, consider promoting the relevant data tensors to float64 to increase numerical range and precision, or use `jax.numpy.finfo` to determine minimum and maximum values for scaling or clamping input data to prevent overflows before potentially problematic operations. Regularly monitoring intermediate values during debugging can also help pinpoint the exact operation causing the issue.