Quantization is an optional feature in Qdrant that enables efficient storage and search of high-dimensional vectors. By transforming original vectors into a new representations, quantization compresses data while preserving close to original relative distances between vectors. Different quantization methods have different mechanics and tradeoffs. We will cover them in this section.

Backpropagation through time (BPTT) is a gradient-based technique for training certain types of recurrent neural networks. It can be used to train Elman networks. The algorithm was independently derived by numerous researchers