NeMo-Aligner is a new toolkit from NVIDIA designed for efficient alignment of LLMs to human expectations and ethical standards. It supports various alignment paradigms including Reinforcement Learning from Human Feedback (RLHF), Direct Preference Optimization (DPO), SteerLM, and Self-Play Fine-Tuning (SPIN).

Key features and capabilities include:

• Highly optimized implementations for scalability, capable of leveraging hundreds of GPUs.
• Supports Parameter Efficient Fine-Tuning (PEFT) to adapt to various models and configurations.
• It is openly available for community contributions and further collaborative development.

Opinion: NeMo-Aligner represents a significant advancement in AI safety and ethics, allowing for more personable and aligned AI applications. The open-source nature invites wider community involvement, potentially accelerating improvements in ethical AI.