SMRTR summary
Large language models (LLMs) are widely misunderstood despite their growing prominence. These advanced neural networks process text using tokenization, not actual language comprehension. LLMs are immutable, cannot learn, and rely on pattern matching and randomness to generate responses, leading to limitations in real-world applications.
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