Transformers, Artificial Intelligence, Machine Learning, Large Language Models, Technology.
0.8], [-0.4, 0.7, 0.1, -0.7], [0.6, -0.3, 0.3, -0.2]] K = [[0.8, 0.2, -0.9, 0.4], [-0.3, 0.1, 0.2, -0.5], [0.6, -0.8, 0.5, -0.7]] V = [[-0.1, 0.7, 0.9, -0.2], [-0.6, 0.3, -0.5, 0.5], [-0.2, 0.4, 0.2, -0.6]] Image by author here we get a Attention Matrix(Q.K^t). But what’s the intuition behind why