Bridging the Gap: How Reinforcement Learning with Human Feedback Transforms LLMs into Human-Aligned Models

Introduction: In the ever-evolving landscape of Large Language Models (LLMs), fine-tuning has emerged as a powerful technique to customize these models for specific tasks. However, while instruction fine-tuning has shown immense promise in improving ...