'Using AI to secure AI' in large language model applications: entrepreneur

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'Using AI to secure AI' in large language model applications: entrepreneur

China's rapid advancements in artificial intelligence (AI) highlight the dual nature of large language models (LLMs) as both beneficial and risky. Zhou Hongyi, a prominent entrepreneur and chairman of 360 Group, emphasizes the need for a rational approach to these technologies, which are reshaping industries and driving economic growth. He points out that while AI models like DeepSeek are innovative, they also introduce significant security challenges that must be addressed.

Zhou warns about the risks of AI hallucinations, where models produce misleading information that can impact critical decision-making processes. He advocates for a flexible regulatory framework that allows companies to correct errors without immediate penalties, fostering innovation. Additionally, he stresses the importance of securing knowledge bases and intelligent agents to prevent unauthorized access to sensitive data.

• AI models like DeepSeek drive innovation and economic growth in China.

• AI hallucinations pose significant risks in policymaking and business decisions.

Key AI Terms Mentioned in this Article

Large Language Models (LLMs)

LLMs are AI systems that generate human-like text, presenting both opportunities and challenges.

AI Hallucinations

Hallucinations refer to instances where AI generates misleading or incorrect information.

Retrieval-Augmented Generation (RAG)

RAG is a technique that enhances AI outputs by cross-referencing with reliable knowledge bases.

Companies Mentioned in this Article

360 Group

360 Group is a cybersecurity firm focused on protecting AI systems and data integrity.

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