Mini toolsDefinition
A technique aligning LLMs with human preferences directly using preference data, often simpler than RLHF.
Detailed Explanation
A technique for aligning language models with human preferences directly using preference data, often simpler to implement than traditional reinforcement learning-based methods like RLHF.
Use Cases
Fine-tuning language models based on human feedback datasets, simplifying the alignment process compared to RLHF, improving model helpfulness and safety.
