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LLMs can dynamically adapt to new information at inference time without costly retraining, simply by tweaking the final projection matrix of their MLP blocks.
LLMs can be made better software engineers by pre-training them to reconstruct the messy, iterative development process that led to the final, clean code in repositories.
