Does ChatGPT Need Human Intervention to Code Accurately?

See how ChatGPT requires human help

ChatGPT is built on GPT-3.5, a substantial language model that use deep learning methods to provide thorough and clear replies to queries. OpenAI's ChatGPT, is purportedly teaching AI, how to write basic code with assistance from an "army" of contractors it has on boarded in various locations around the world. These independent contractors' task is to "teach" AI how to create simple code, which has the potential to have significant future effects on the software engineering sector. So, Clearly ChatGPT NEEDS human help

ChatGPT can do much more than only assist natural discussions; it can also write and debug sophisticated computer programmes and even create poetry.

But it is unable to complete this on its own. To learn and subsequently act, it requires human engagement, or more specifically, direction and training that is supervised and reinforced.

For starters, it is rather obvious for a lot of reasons that ChatGPT needs human intervention. The code for a specific problem statement can currently be generated by ChatGPT, but it is unable to comprehend, manipulate, and use that code to actually solve a real-time problem.

The code-related outputs produced by ChatGPT must therefore be handled by a software engineer because they are useless to the general public.

Even in the form of self-contained code blocks, ChatGPT is currently having trouble debugging problematic code. A software engineer will therefore always be needed to troubleshoot that code.

ChatGPT needs complicated prompts in order to build complex applications, which unavoidably calls for technical know-how and "prompt engineering" prowess. These prompts can currently only be written by software engineers.

As a result, ChatGPT can always be a fantastic tool for software engineers, but for the time being, ChatGPT itself requires human assistance.