👉 Enrolled fluid refers to the portion of a language model's memory that is not explicitly programmed with its training data but is dynamically learned during operation. This fluid part of the model's memory is continuously updated based on the interactions and inputs it receives from users, allowing the model to adapt and improve its understanding and responses over time. Unlike the fixed training data, enrolled fluid is context-sensitive and evolves as the model processes new information, making it crucial for maintaining relevance and accuracy in real-world applications.
