 The most common and effective technique to solve this problem is transferring learning, where large language models, either pre-trained on text or task-specific data, are fine-tuned on the few samples.
<fluency>  The most common and effective technique to solve this problem is transferring learning, where large language models, either pre-trained on text or task-specific data, are fine-tuned on the few samples.
 The most common and effective technique to solve this problem is transfer learning, where large language models, either pre-trained on text or task-specific data, are fine-tuned on the few samples.