Project
Customer Service Classifier AI
This research initiative explores Large Language Models' effectiveness in categorizing banking customer inquiries. The project employs experimental approaches with prompt-engineering and model fine-tuning techniques to strengthen customer service operations.
Technologies
Key features
- BANKING77 dataset — a vetted collection of labeled banking inquiries
- Zero-Shot and Few-Shot prompting techniques
- Model fine-tuning using specific dataset segments
- Standardized ML metrics for objective performance assessment
- Cost-effectiveness analysis of implemented methods