LLM generates 'credible' code rather than 'correct' - a case analysis with the database

The article discusses the challenges of using large language models (LLMs) for generating correct programming code. The author notes that while LLMs have the ability to generate meaningful code snippets, they often make mistakes, leading to incorrect or inefficient solutions. It emphasizes that due to these limitations, programmers should not fully rely on these tools, but instead actively verify the generated code. The article presents examples illustrating how LLMs can create code snippets but also highlights how easily they can err, especially in more complex scenarios. Consistently, the author calls for greater responsibility in using AI technology, pointing out the need for additional training and support to promote a better understanding by developers using these tools.