Customization of LLMs involves fine-tuning pre-trained Artificial Intelligence models to adapt to a specific use case. It involves training the model with a smaller, more relevant data set specific to a unique application or use case. This allows the model to learn the language used in the specific domain and provide more accurate and relevant results.