In the rapidly evolving landscape of artificial intelligence, large language models (LLMs) like GPT-4 have demonstrated remarkable capabilities in generating human-like text. However, concerns about their reliability and traceability persist. Addressing these concerns, a team of researchers has proposed a novel reasoning framework aimed at enhancing the reliability and traceability of LLMs. This initiative seeks […]
