👉 The term "unkembed" refers to a method of embedding a model in an unsupervised learning context, where a model is not explicitly trained on any specific data but instead used as a reference point for training. This approach involves using a supervised learning framework, such as TensorFlow or PyTorch, and passing the reference model as input to the unsupervised learning algorithm. In other words, "unkembed" refers to a way of embedding a model in an unsupervised learning context without
