Bagaimana ChatGPT memindai 170 ribu baris kode dalam hitungan detik dan menghemat jam kerja saya

David Gewirtz/ZDNET wrote an article about the application of artificial intelligence (AI) as a tool to address unique, specialized needs. The article offers valuable lessons for all readers and has been updated with feedback from the audience. The piece also delves into the use of ChatGPT to quickly solve complex problems, emphasizing the importance of using the right prompts and maintaining a level of skepticism.

The context for the lesson provided in the article revolves around 3D printing, specifically focusing on a test called 3DBenchy that evaluates printer performance. The author tested a new printer that claimed to be faster than others, with the Benchy test taking significantly less time than on other printers. However, the G-code provided by the company resulted in a much faster print time than the G-code generated using their slicer, leading to confusion and frustration.

Despite efforts to seek answers from the company’s support team, no satisfactory explanation was provided. This prompted the author to turn to AI for assistance. By utilizing ChatGPT Plus and feeding it with the G-code files, the author attempted to uncover the reasons behind the speed differences in the prints. Through a series of prompts and queries, ChatGPT identified key factors such as feed rates, layer height, and acceleration settings that contributed to the faster print time.

The article highlights the potential of AI in addressing technical challenges and optimizing processes. It also emphasizes the importance of utilizing tools like ChatGPT effectively, with the right prompts and questions to yield accurate results. The author also shares insights from reader comments, encouraging the exploration of AI capabilities and the use of tools to enhance productivity and problem-solving. Ultimately, the article underscores the value of leveraging technology to streamline tasks and achieve better outcomes.

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