Alignment Whack-a-Mole : Finetuning Activates Verbatim Recall of Copyrighted Books in Large Language Models

1. 1Finetuning can reactivate verbatim recall of copyrighted books in large language models
2. 2Safety alignment strategies such as RLHF, system prompts, and output filters may not be effective against finetuning
3. 3Developers should re-evaluate their models' training data and finetuning procedures to prevent copyright infringement
4. 4Regulatory bodies should consider the implications of finetuning on copyright laws and regulations

AI engineers and researchers working on large language models need to be aware of this issue to ensure compliance with copyright laws and regulations, and to develop more effective safety measures

💡 Finetuning can compromise the safety and compliance of large language models with copyright laws

🚨 Finetuning can bypass safety measures and reactivate verbatim recall of copyrighted books in LLMs 🚨