Fine-Tuning LLM Performance: How Knowledge Graphs

Fine-tuning is a crucial process in optimizing the performance of pre-trained LLMs. It involves further training the model on a smaller, more specific dataset tailored to a particular task or domain. Traditional fine- Tuning may not effectively instill deep, structured knowledge or robust reasoning