A REVIEW OF LARGE LANGUAGE MODELS

It entails training the product with higher precision then quantizing the weights and activations to reduce precision throughout the inference stage. This permits for the lesser model size although retaining large overall performance. As quantization represents product parameters with decrease-little bit integer (e.g., int8), the model dimension an