PAFT: A Parallel Training Paradigm for Effective LLM Fine-Tuning

Shiva Kumar Pentyala, Zhichao Wang, Bin Bi +6

Large language models (LLMs) have shown remarkable abilities in diverse natural language processing (NLP) tasks. The LLMs generally undergo supervised fine-tuning (SFT) followed by…