From RL to LLMs: Optimizing AI with GRPO, PPO, and DPO for Better Fine-Tuning

https://ift.tt/7AT2Xa6 For decades, Reinforcement Learning (RL) has been the driving force behind breakthroughs in robotics, game-playing A...

https://ift.tt/7AT2Xa6

For decades, Reinforcement Learning (RL) has been the driving force behind breakthroughs in robotics, game-playing AI (AlphaGo, OpenAI Five), and control systems. RL’s strength lies in its ability to optimize decision-making by maximizing long-term rewards, making it ideal for problems requiring sequential reasoning. However, large language models (LLMs) initially relied on supervised learning, where models were fine-tuned on static datasets. This approach […]

The post From RL to LLMs: Optimizing AI with GRPO, PPO, and DPO for Better Fine-Tuning appeared first on Analytics Vidhya.

from Analytics Vidhya
https://www.analyticsvidhya.com/blog/2025/02/llm-optimization/
via RiYo Analytics