Exciting to see Databricks use our eval benchmark FinanceBench to evaluate how well fine-tuning embedding models with synthetic data improves RAG performance! ⚡ FinanceBench is the industry’s first standardized benchmark for LLM performance on financial questions. It's a large-scale set of 10k question and answer pairs based on public filings like SEC 10Ks. Since its launch, it has been used by thousands of financial institutions, universities, regulatory groups, and leading AI companies around the world. We’re thrilled to see Databricks push forward in RAG research, and we at Patronus AI are excited to continue bringing alpha evals to AI teams 🚀 Read the Databricks blog post: https://lnkd.in/dhqKH_zW Download the FinanceBench sample on Hugging Face: https://lnkd.in/emBP3DGu Read the FinanceBench arXiv paper: https://lnkd.in/eThVhwVy Reach out to us to learn more!
