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Retrieved on: 2025-05-14 06:53:17
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Summary
The article explores how large language models (LLMs), like GPT-J, utilize analogy rather than fixed grammatical rules, similar to human processes, to generalize language. Despite their efficiency, LLMs require extensive data, lacking humans' abstract mental dictionary. This ties to 'Natural Language Processing,' 'Large language models,' and 'Artificial intelligence,' highlighting analogical reasoning in language generation.
Article found on: neurosciencenews.com
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