Fine-Tuning Embedding Models for Financial Filing Analysis with LLM Distillation

This research explores a practical application of LLM distillation for enhancing the performance of embedding models in a specialized domain. The study's focus on financial filings suggests a potentially valuable contribution to financial analysis and information retrieval.