Will ChatGPT Demolish Coding Jobs?

AI is getting democratized faster than you can say ‘artificial intelligence’. A lot of it is even free. You’ve probably played with it yourself: ChatGPT is getting a lot of press. It’s the superhero of the NLP and machine learning world, suddenly saving the day for writers, researchers, and engineers everywhere. The program can be molded to tackle specific missions, like language translation, text summarization, and answering questions like a pro. It even has the power to generate text for chatbots and AI assistants, in the tech world. But there’s also some concern — namely, the idea that coding might be a thing of the past, just as thousands are training for that job of the future.

Redefining the code of conduct

But fear not, coders. ChatGPT and its buds aren’t here to steal your jobs. They’re here to make your lives easier! While they can generate code and help with programming tasks, they can’t replace the human touch when it comes to critical thinking, problem-solving, and creativity. In fact, the rise of language models in programming might just lead to new job opportunities in areas like model development, maintenance, and integration.

ChatGPT and similar language models can be used for a variety of tasks related to code generation. Some examples include:

  1. Generating code snippets: ChatGPT can be fine-tuned to generate code snippets in a specific programming language based on a given prompt. This can help developers quickly generate code without having to manually write it.
  2. Code completion: ChatGPT can also be used to suggest code completions based on a partially written code.
  3. Comment generation: The model can be fine-tuned to generate comments for code snippets to make the code more readable and understandable.
  4. Error correction: ChatGPT can be used to identify and correct errors in code snippets.
  5. Code summarization: ChatGPT can be fine-tuned to generate a summary of the functionality of a code snippet.

The digital disruption

Keep in mind that most of these use cases are in the research phase and not fully mature yet, and it’s important to keep in mind that these models will make mistakes and the generated code may not be optimal or even correct. But again, that’s where you come in. Human judgment is still pretty darn important.

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