A naukri.com initiative
Arxiv
1d
225
Image Credit: Arxiv
Towards Revealing the Effectiveness of Small-Scale Fine-tuning in R1-style Reinforcement Learning
- R1-style Reinforcement Learning (RL) has enhanced Large Language Models' reasoning capabilities.
- Small-scale fine-tuning (SFT) has a significant influence on RL but lacks efficiency.
- An analytical framework comparing SFT and RL efficiency through sample effect analysis was proposed.
- Introduction of Re-distillation technique showed surprising efficiency in fine-tuning pretrain models with fewer samples.
Read Full Article
13 Likes
For uninterrupted reading, download the app