This presentation explores a novel approach to enhancing smaller language models through the integration of knowledge graphs and reinforcement learning. We demonstrate how this combination can significantly improve model performance while maintaining computational efficiency.
Key Topics
- Knowledge graph integration with language models
- Reinforcement learning for model optimization
- Performance improvements in smaller models
- Practical applications and case studies
Location and Date
SBBD
Florianópolis, Brazil
2024