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Emergence of Intelligence in Large Language Models
Developers of large language models do not pre-program these models. Instead, they input a vast amount of data, allowing the models to become pattern matching systems that learn to write, code, perform math, and summarize information. This process leads to the emergence of intelligence, although the exact mechanism is not fully understood. Deep learning is a powerful tool in this regard, and it is crucial to grasp this concept when addressing transparency concerns about the functioning of these models.
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