Brief synopsis by GPT-4:
The paper discusses a new way to improve the reasoning abilities of large language models (LLMs) like GPT-4. Instead of using a complicated and resource-intensive process that involves stopping and restarting the model multiple times, they propose a simpler method called the “Algorithm of Thoughts.” This method guides the language model using examples based on algorithms, which helps the model think more logically using just one or a few queries. This not only saves computational resources but also performs as well as or better than existing methods. The paper suggests that this approach may allow the language model to combine its own “intuition” with algorithmic reasoning for better performance.