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Self-improvement in LLMs is not automatic; the pathway to effective learning depends critically on the task structure and the nature of the feedback received.
LLMs can be fine-tuned to exhibit specific behavioral styles, revealing that personality-like traits are not just abstract concepts but measurable and controllable modes of interaction.
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.
