Interviewer: Many skeptics argue that Large Language Models (LLMs) are merely 'Stochastic Parrots,' meaning they just predict the next word without any real understanding. Do you agree? \nTech Expert: That view is becoming increasingly hard to defend. While they are trained on statistical patterns, the 'Emergent Properties' we observe—like zero-shot reasoning and complex problem-solving—suggest that --- \nChoose the option that represents a sophisticated counter-argument to the 'Stochastic Parrot' theory.
Şıklar
the models are simply repeating the vast amount of data they have memorized during the initial training phase.
these systems may have developed internal world models that allow them to represent and manipulate concepts beyond mere syntax.
understanding is a human-centric trait that cannot be replicated by any silicon-based architecture regardless of its complexity.
the speed of word prediction is the only metric that has improved, while the depth of comprehension remains entirely static.
the linguistic output is often grammatically correct but lacks the emotional nuance required for true human-like inte\fraction.
Çözüm Açıklaması
Soru, LLM'lerin sadece birer 'istatistiksel papağan' olup olmadığını sorguluyor. 'Emergent Properties' (beliren özellikler) ifadesi, sistemin sadece kelime tahmini yapmadığını, eğitilirken beklenmedik bir şekilde 'içsel dünya modelleri' (internal world models) geliştirdiğini ve kavramları manipüle edebildiğini savunur. B şıkkı bu akademik ve teknik savunmayı en iyi ifade eden seçenektir.
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