Towards Effective Experiential Learning: Dual Guidance for Utilization and Internalization
📰 ArXiv cs.AI
Dual guidance approach for effective experiential learning in reinforcement learning and large language models
Action Steps
- Identify external and internal experiences that can guide exploration and gradual improvement in LLMs
- Develop a dual guidance framework that combines reinforcement learning from verifiable rewards (RLVR) with internalization techniques
- Implement the framework in LLM training to improve reasoning tasks and overall performance
- Evaluate the effectiveness of the dual guidance approach through experiments and comparisons with existing methods
Who Needs to Know This
AI engineers and ML researchers can benefit from this approach to improve the capabilities of LLMs, while product managers can apply the insights to develop more effective training methods
Key Insight
💡 Combining external and internal guidance can lead to more effective experiential learning in LLMs
Share This
🤖 Dual guidance for LLMs: combining RLVR with internalization for more effective learning #LLMs #RL
DeepCamp AI