Use Prolog to improve LLM's reasoning

The linked article is about using Prolog, a logic programming language, to improve the reasoning capabilities of large language models (LLMs). The author suggests that by incorporating Prolog-based reasoning into LLMs, they can better understand and reason about the world, making them more reliable and trustworthy. The article explores how Prolog's declarative and rule-based approach can complement the statistical and pattern-matching nature of LLMs, leading to more robust and explainable outputs. The author provides an example of using Prolog to reason about family relationships, showcasing the potential benefits of this approach for enhancing the reasoning abilities of LLMs.