Overview

The results of this book's research provide compelling evidence of Chat GPT's proficient application of the Peter Chew Method, resulting in the overcoming the incomplete answer problem in certain Marine Engineering problem when using Chat GPT. Furthermore, Chat GPT exhibits the capacity to furnish final answers in exact value (in surd form) for specific Marine Engineering problems-a feat not achievable through current solutions. In contrast, the conventional approach employed by Chat GPT often produces only a single answer (incomplete answer) for certain Marine Engineering problem. This research findings illuminate a substantial performance disparity. This incongruity underscores the paramount significance of the Peter Chew Method in augmenting the mathematical capabilities of AI systems. This stark contrast underscores the profound transformative potential that diverse methodologies hold in enhancing the AI system's mathematical prowess. These findings not only contribute to enhance AI's mathematical competencies but also emphasize the need for pioneering new methods, rules, theorems, or formulas to further enhance AI systems like ChatGPT. Future research could explore the development of novel mathematical techniques tailored to AI systems, thus expanding their capabilities across diverse problem-solving Marine Engineering domains. This can be effective in let Marine Engineering student interest in using AI systems like ChatGPT while learning Marine Engineering especially when analogous covid- 19 issues arise in the future.

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