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Everybody's Into ChatGPT... But Is It Really All That?

May 24, 2024 Deciphr AI
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As with any other artificial intelligence, ChatGPT has its limitations. It’s not a know-it-all tool, at least as of yet. Here are some of the noticeable limitations of the software: 

Redundancy & Incoherence

While ChatGPT can give users an essay worth of answer to a single question, it has the tendency to generate redundant sentences and splice incoherent thoughts. From pat answers to run-of-the-mill responses, ChatGPT has room to improve in terms of diversification and overall messaging structure. 

Incorrect & Limited Data

Ask ChatGPT about a recent event or trending topic, and there’s a tendency that it will not give an accurate response. However, it doesn’t only happen to these types of topics, but even in historical topics and the like. OpenAI is quick to admit these kinks, saying that the tool sometimes produces plausible-sounding but incorrect or nonsensical answers. 

Other areas that ChatGPT shows some inaccuracies and erroneous replies to are mathematics and biography. 

Clearly, the limited data fed into the chatbot affects its output. And when it comes to biases, it has a long way to go to achieve better data transparency. Data biases is a sticky topic, as the root cause may not always be identified. 

Stability & Capacity Issues

“ChatGPT is at capacity right now.” Users have stumbled upon this error message one too many times. Goes to show that when it comes to capacity, ChatGPT has a lot to improve. Not only does it crash every so often, but there’s a tendency to lag and take a while for it to generate responses, even though the question is not as tricky or complex. 

In the midst of these existing limitations, ChatGPT holds so much potential that many industries can look past it and further explore its usage for them to maximize it for their own businesses.