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NeMo-Aligner: Scalable Toolkit for Efficient Model Alignment
May 3, 2024, 4:15 a.m. | Gerald Shen, Zhilin Wang, Olivier Delalleau, Jiaqi Zeng, Yi Dong, Daniel Egert, Shengyang Sun, Jimmy Zhang, Sahil Jain, Ali Taghibakhshi, Markel Sanz
cs.CL updates on arXiv.org arxiv.org
Abstract: Aligning Large Language Models (LLMs) with human values and preferences is essential for making them helpful and safe. However, building efficient tools to perform alignment can be challenging, especially for the largest and most competent LLMs which often contain tens or hundreds of billions of parameters. We create NeMo-Aligner, a toolkit for model alignment that can efficiently scale to using hundreds of GPUs for training. NeMo-Aligner comes with highly optimized and scalable implementations for major …
alignment arxiv cs.ai cs.cl cs.lg nemo scalable toolkit type
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