Large Language Models, Machine Learning, Deep Learning, Data Science, Technology.
network’s weights to adapt to a new task. This adjustment involves altering the original weight matrix ( W ) of the network. The changes made to ( W ) during fine-tuning are collectively represented by ( Δ W ), such that the updated weights can be expressed as ( W + Δ W ). Now, rather than