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Study Finds Fine-Tuning LLMs Compromises Safety, Raises Concerns in AI Community

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Updated Oct 15, 2023, 02:15 PM

A recent study has revealed that fine-tuning large language models (LLMs) can compromise their safety, leading to concerns in the AI community. The study highlights the risks associated with LLMs and emphasizes the need for careful management of societal response to AI innovations. The findings have raised alarm about the potential for LLMs, such as OpenAI's GPT-3.5 Turbo, to generate toxic content despite safety efforts. Researchers urge caution and further research to address these safety concerns in order to prevent potential harm caused by LLMs. The study's results have sparked discussions among tech experts and venture capitalists, who are closely monitoring the situation and its implications for the future of AI technology.

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Techmeme

@Techmeme

Researchers find that a modest amount of fine-tuning can undo safety efforts that aim to prevent LLMs such as OpenAI's GPT-3.5 Turbo from spewing toxic content (@thomasclaburn / The Register) https://t.co/AwBtBgok35 📫 Subscribe: https://t.co/OyWeKSRpIM https://t.co/kqhBQZiRDQ

Deep_In_Depth

@Deep_In_Depth

Uh-oh! Fine-tuning LLMs compromises their safety, study finds https://t.co/XJsB2RR676 #DL #AI #ML #DeepLearning #ArtificialIntelligence #MachineLearning #ComputerVision #AutonomousVehicles #NeuroMorphic #Robotics

Ben Bajarin

@BenBajarin

Fine tuned LLMs > general purpose LLMs.

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2 years ago•Latest version

Study Finds Fine-Tuning LLMs Compromises Safety, Raises Concerns in AI Community

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Study Finds Fine-Tuning LLMs Compromises AI Safety

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Study Finds Fine-Tuning LLMs Compromises AI Safety

Study Finds Fine-Tuning LLMs Compromises Safety, Raises Concerns in AI Community

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