diff --git a/11/3.py b/11/3.py
new file mode 100644
index 0000000..0b2da0e
--- /dev/null
+++ b/11/3.py
@@ -0,0 +1,20 @@
+import torch
+
+print(f"PyTorch Version: {torch.__version__}")
+
+matrix1 = torch.tensor(
+    [[1, 2, 3], [4, 5, 6], [7, 8, 9], [10, 11, 12], [13, 14, 15]], dtype=torch.float32
+)
+
+matrix2 = torch.tensor(
+    [[1, 2, 3, 4], [5, 6, 7, 8], [9, 10, 11, 12]], dtype=torch.float32
+)
+
+result = matrix1 @ matrix2
+
+print("\nMatrix 1 (5 x 3):")
+print(matrix1)
+print("\nMatrix 2 (3 x 4):")
+print(matrix2)
+print("\nResult of matrix multiplication (5 x 4):")
+print(result)
diff --git a/11/4.py b/11/4.py
new file mode 100644
index 0000000..4fde49a
--- /dev/null
+++ b/11/4.py
@@ -0,0 +1,35 @@
+import torch
+
+zeros = torch.zeros(3, 3)
+ones = torch.ones(3, 3)
+random_matrix = torch.rand(3, 3)
+
+print("Zeros matrix:")
+print(zeros)
+print("\nOnes matrix:")
+print(ones)
+print("\nRandom matrix:")
+print(random_matrix)
+
+print("\nAbsolute value of random matrix:")
+print(torch.abs(random_matrix))
+
+print("\nAddition of ones and random matrix:")
+print(ones + random_matrix)
+
+print("\nDivision of random matrix by ones:")
+print(random_matrix / ones)
+
+print("\nDot product of random matrix with ones:")
+print(random_matrix * ones)
+
+print("\nCross product of random matrix with ones:")
+print(random_matrix @ ones)
+
+print("\nExponentiation of random matrix:")
+print(torch.exp(random_matrix))
+
+print("\nSize of matrices:")
+print(f"Shape: {random_matrix.size()}")
+print(f"Dimensions: {random_matrix.dim()}")
+print(f"Total elements: {random_matrix.numel()}")