The author also provides an example of how the LoT technique can be used to solve a logic-based question from the Law School Admission Test (LSAT). The article concludes by emphasizing that the LoT technique is not a silver bullet for all kinds of problems, but rather a niche player that can be highly effective when used for logic-based questions or problems. The author encourages readers to use their imagination and determine when to use the LoT technique to their advantage.
Key takeaways:
- The Logic-of-Thought (LoT) prompting technique can improve results when using generative AI by telling the AI to work through a question or problem in a highly logical fashion.
- LoT is particularly useful for logic-based questions or problems, and it involves three steps: logic extraction, solution using propositions, and explanation in plain language.
- LoT has been empirically tested and found to boost the performance of various prompting methods across five logical reasoning tasks.
- While LoT is not a silver bullet for all types of problems, it is a valuable tool for those that require logical reasoning and should be part of any AI user's toolkit.