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Pharo-specialized LLMs achieve superior code completion accuracy, even surpassing larger models, proving that low-resource languages can benefit from advanced AI techniques.
No-resource languages can achieve significant code generation improvements through a novel pre-training and instruction-following hybrid approach, challenging conventional training paradigms.
