Large language models (LLMs) have proven to be capable of producing human-like language. This makes them look as smart as humans, but how intelligent are they?
Humans have an advantage in learning speed and flexibility in applying what they have learned. research is a booming business. Recent advances in large language models , like the one powering ChatGPT, surprised the world.
This learning history is sufficient to produce remarkably humanlike responses. Still, LLMs typically require about four to five orders of magnitude, or roughly 50,000 times more training instances than the average human child, to produce that behavior . ChatGPT's training is a rather brute-force approach to learning to produce intelligent linguistic behavior.
Another example of GPT3.5 failing a simple relational problem. The reasoning is correct, but it then comes to an erroneous conclusion.Current LLMs are not an ideal model for learning psychologists investigating how humans learn. What, then, makes humans so unique?, and thus intelligence, is founded on our ability for relational responding—responding to one event in terms of its relationship to another.
Returning to the question of ChatGPT's intelligence, it is important to note that it was developed with a specific purpose: to interact with humans through a computer interface and produce coherent answers to whatever prompt it gets. With that goal in mind, its performance is remarkable.
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