The paper discusses GPTutor, an open-source tool developed for programming assistance within Visual Studio Code, powered by large language models (LLMs). While LLMs have enhanced software development, issues with prompt design and training data limits their effectiveness. GPTutor addresses these problems by enabling users to customize prompts across over 120 human languages and 50 programming languages, effectively allowing fine-tuning and correction of errors in real-time. The paper highlights GPTutor's potential with specific examples, such as its capability to interpret the Sui-Move smart contract language, showcasing the benefits of prompt engineering in programming.
GPTutor empowers users to customize prompts for various programming languages, correcting LLM errors and optimizing code generation, providing a transparent alternative to existing AI tools.
The emergence of Large Language Models has significantly improved software development efficiency, yet limitations in training data and prompt design can hinder their performance.
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