Opinion
ChatGPT can take your data science game to the next level — if you know how to use it.
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When ChatGPT first came out in November 2022, the LLM (Large Language Model) craze was immense. Straight out of Tony Stark’s lab, we finally had an artificial intelligence that communicated like a human. Even for the tech-initiated, its capabilities were shocking at first, almost frightening. Granted, LLMs had been around for some time by then, but GPT-3 took things to a new level.
But then, the issues started to show themselves. ChatGPT hallucinates, said machine learning researchers — it would often make things up and cite “sources” that did not exist. ChatGPT is a disaster for academic integrity, cautioned ethicists — students could cheat in easier ways than ever. And, arguably most importantly, ChatGPT is not ethically sound, warned AI ethics researchers — much of its training data was full of bias, and this reflects in its responses.
This leads to a dilemma. ChatGPT is powerful, yes — it certainly can do things. But at the same time, it is far from perfect. So should we use it? And if so, how?