Vectors & Matrix Operations

Implement dot product from scratch (no np.dot) and cosine similarity — used everywhere in embeddings.

Implement matmul using loops, then apply a weight matrix to a batch of vectors — the core operation of neural networks.

Implement transpose for 2D and batched 3D tensors, then compute QKᵀ — the exact operation in attention.