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Synthetic Data for Financial QA by youssef is a document available to read on EtoBox.
What is Synthetic Data for Financial QA about?
This document explores the use of large language models (LLMs) for generating synthetic data to enhance financial question answering capabilities, focusing on multi-step reasoning tasks. It evaluates the effectiveness of synthetic data generation methods compared to manually curated datasets, demonstrating that models trained on synthetic data can achieve performance close to those trained on real data. The study highlights the potential of LLMs to create high-quality financial reasoning datasets while addr
- Author
- youssef
- Language
- EN