Fine Tuning Large Language Models
Fine-tuning is the process of taking an already-trained model and giving it a makeover to tackle a similar task. When a model needs tweaks for a new job fine-tuning comes to the rescue.
Fine-tuning is the process of taking an already-trained model and giving it a makeover to tackle a similar task. When a model needs tweaks for a new job or isn't performing up to par, fine-tuning comes to the rescue.
How Fine-tuning Works
Fine-tuning takes the original model's weights and molds them to fit the new task. For instance, consider GPT-3, a model trained on a massive dataset, mastering various skills like generating stories, poems, songs, and more.