Evaluating Domain Specific LLMs for Real World Finance — Waseem Alshikh, Writer
This talk explores the necessity of domain-specific language models in finance, challenging the notion that general models with high accuracy are sufficient. The evaluation presented reveals that while general models perform well on standard benchmarks, they struggle with real-world complexities like misspellings, incomplete queries, and crucially, grounding answers within provided context. This suggests a significant gap in robustness and reliability, indicating that specialized models and robust system design are still essential for critical applications.
12 min