MIT Technology Review Narrated Large language models can do jaw-dropping things. But nobody knows exactly why.
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Aug 7, 2024 Large language models exhibit astonishing abilities, yet their underlying mechanisms remain a mystery. The discussion uncovers the phenomenon of 'grokking,' where these models learn in unexpectedly complex ways. Researchers face significant challenges in deciphering this behavior, raising questions about future advancements in AI. Understanding these complexities is crucial for harnessing the potential of more powerful models ahead.
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Accidental Grokking
- Researchers accidentally discovered "grokking" when they left models training longer than intended.
- Models suddenly grasped arithmetic after appearing to fail, defying typical deep learning behavior.
LLM Mystery
- Large language models, especially, behave unexpectedly, defying traditional statistical explanations.
- Their ability to generalize goes beyond what current theories predict.
Surprising Generalization
- Generalization, a key aspect of machine learning, allows models to apply learned patterns to new examples.
- Large language models show surprising generalization abilities, even transferring knowledge across languages.