Programming, Artificial Intelligence, Machine Learning, Data Science, Python.
Answer with Code: import torch import numpy as np import matplotlib.pyplot as plt from sklearn.decomposition import PCA # Assume embeddings is obtained from a model embeddings = torch.rand(10, 512) # Simulated embedding for 10 tokens # Convert to numpy array for PCA embeddings_np =