Quantization is a machine learning technique used to speed up the inference and reduce the storage requirements of neural networks. It involves reducing the number of bits that represent the weights of the model.

• Image and video compression
• Audio signal processing
• Communication systems
• Speech recognition
• Deep learning
• Physics (Quantum Mechanics)
• Data transmission

For example, instead of using 32-bit floating point numbers to represent the weights of a neural network, quantization can be used to reduce them to 8-bit integers. This can result in significant reductions in memory usage and inference time without sacrificing too much accuracy.

• Reduce Language Learning Models Hallucinations