An Experimental Design Framework for Label-Efficient Supervised Finetuning of Large Language Models
The article discusses the use of Supervised Finetuning (SFT) on instruction datasets for improving the performance of large language models (LLMs). However, the high cost of annotation for quality responses…
Continue reading