Fine Tuning Models

Fine tuning is a crucial step in optimizing language models for specific tasks. After initial training and alignment to minimize harmful outputs, fine tuning allows the integration of specialized data, enhancing the model's ability to handle particular domains effectively. This process ensures that the model not only generates relevant outputs but also adheres to the desired structure and meaning.