Question 3
A research team wants their pre-trained language model to generate more helpful and harmless responses without extensive task-specific dataset collection. They have a collection of prompts and human-preferred responses. Which of the following techniques directly aligns with this goal and data?
Pre-training the model on a larger, more diverse text corpus.
Full fine-tuning on multiple downstream classification tasks.
Instruction Tuning using prompt-completion pairs or reformatting existing datasets into an instructional format.
Implementing Parameter-Efficient Fine-Tuning (PEFT) techniques like LoRa.