Grounding large language models in relevant financial data and applying multi-metric validation, which combines factual verification, retrieval correctness, and QA consistency, can achieve over 90% confident correctness.

Authors

• Person: Not available Organization: GitHub
  EdinburghNLP/awesome-hallucination-detection - GitHub

Sources

• EdinburghNLP/awesome-hallucination-detection - GitHub github.com GitHub via serper

Referenced by nodes (1)

• Large Language Models concept