<ul><li>A study warns of 'catastrophic overtraining' in Large Language Models (LLMs).</li><li>Researchers have found that extended pre-training can make language models harder to fine-tune, degrading their performance.</li><li>Increased pre-training can lead to reduced effectiveness when models are later fine-tuned.</li><li>Additional training beyond a certain point leads to diminishing and even negative returns in fine-tuning outcomes.</li></ul>

Researchers warn of ‘catastrophic overtraining’ in Large Language Models

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