Not really. It's taking an input and providing the statistically most likely string of words that are associated with it. There's far more to NLP than that. Think about how a human can see a word they've never seen before and infer it's meaning based on context clues. I'm not sure any publicly available system can do that.
New words are entering every language constantly. There's no way to train such a massive model to keep up as fast as a human or purpose built system can.
Kingstudly t1_j4xygdq wrote
Reply to comment by singularpanda in [D] Will NLP Researchers Lose Our Jobs after ChatGPT? by singularpanda
Not really. It's taking an input and providing the statistically most likely string of words that are associated with it. There's far more to NLP than that. Think about how a human can see a word they've never seen before and infer it's meaning based on context clues. I'm not sure any publicly available system can do that.
New words are entering every language constantly. There's no way to train such a massive model to keep up as fast as a human or purpose built system can.