Fine-tuning LLMs

<h1>Catastrophic Forgetting (degrades model performance)</h1> <p>Catastrophic forgetting occurs when a machine learning model forgets previously learned information as it learns new information.</p> <p>This process is especially problematic in sequential learning scenarios where the model is trained on multiple tasks over time.</p> <p>Catastrophic forgetting is a common problem in machine learning, especially in deep learning models.</p> <h2>Example</h2> <p>A sentiment judgment task. We fine-tune the model to give sentiment results instead of sentences, and it works.</p> <p><a href="https://teetracker.medium.com/fine-tuning-llms-9fe553a514d0"><strong>Website</strong></a></p>