Researchers at KAIST led by Professor Jae-Gil Lee unveil a distributed in-memory system presented at EMNLP 2026 that slashes large language model fine-tuning time from 10 hours to three hours for medical and coding applications.
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Researchers at KAIST led by Professor Jae-Gil Lee unveil a distributed in-memory system presented at EMNLP 2026 that slashes large language model fine-tuning time from 10 hours to three hours for medical and coding applications.