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Scientists discover a small Amount Of Fine-tuning Can Undo Safety Efforts That Aim To avoid LLMs for example OpenAI’s GPT-3.5 Turbo From Spewing poisonous content material (Thomas Claburn/The enroll)
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Thomas Claburn / The enter:
Researchers realize that a moderate level of fine-tuning can undo security initiatives that make an effort to avoid LLMs such as for example OpenAI’s GPT-3.5 Turbo from spewing dangerous content material — OpenAI GPT-3.5 Turbo chatbot defenses dissolve with ‘20 cents’ of API tickling — The “guardrails” designed to avoid big language designs …
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