Concept
Finetuning
Finetuning is the process of taking a pretrained model and continuing to train it on a smaller, task-specific dataset, updating its weights via gradient descent. Think of it like transfer learning in vision, except the base model is a large language model that already…
The rest of “Finetuning” is a premium feature: every concept in the library gets a precise, practitioner-focused write-up like this one, cross-linked straight from the paper summaries that use it.
Log in to unlock→