colab-rlhf

What problem does it solve?

This Skill addresses the challenge of aligning AI models with human preferences on Colab, enabling the training of models that better serve the intended audience.

Core Features & Use Cases

• RLHF Method Training: Supports RLHF techniques including DPO, PPO, KTO, ORPO, and RLOO for aligning AI preferences.
• Reward Modeling: Allows for custom reward models to optimize model outputs.
• Use Case: For data scientists and AI researchers who need to ensure that their Colab models are producing outputs that align with human feedback and preferences.

Quick Start

Train a new model to align with human preferences using RLHF techniques on Colab with this skill.