FLEXIBLE AND ADAPTABLE LLM’s WITH CONTINUOUS SELF TRAINING
CURRENT UNFLEXIBLE MODELS Current LLMs have serious limitations in adaptability, flexibility, and continuous learning. The knowledge and world model contained in the LLM’s parameters is fixed at the time of training completion. Interactions during inference time do not influence the model's knowledge: * Factual knowledge is outdated: limited to the...