Who is the Spy?

Chentian wei, Jiewei Chen, Coveeta Kosambi

Keywords: LLM, CoT, Prompt Engineering, Small Scale Games

Abstract:

With the expansion of small scale games and prompt engineering, logical reasoning and problem solving has become integral to our daily lives. Simultaneously, recent advancements in large language models (LLMs) and techniques of prompt engineering have transformed the fields of game development and Artificial Intelligence (AI) through Machine Learning (ML). Given the rapid progress in this research area, there is a pressing need for a comprehensive overview that encapsulates the current state of LLM and prompt engineering. Therefore, we propose the idea of implementing Chain of Thought (COT) prompting to guide the LLM to follow a reasoning process in solving the riddles of a small games. This brings us to the title "Who is the Spy?" for our final project.
In this proposal, we first present the foundational background of large language models (LLMs), Prompt Engineering, and Chain of Thought (CoT) prompting in small scale games. Next, we conduct a review of the relevant literature on prompt engineering principles (CoT and ToT), which will be explored further in our final report. Finally, we identify and discuss the propose method in this domain that merit further investigation.

Submission Number: 16