首页|Findings on Artificial Intelligence Reported by Investigators at University of E lectronic Science and Technology of China (Bc4llm: a Perspective of Trusted Arti ficial Intelligence When Blockchain Meets Large Language Models)
Findings on Artificial Intelligence Reported by Investigators at University of E lectronic Science and Technology of China (Bc4llm: a Perspective of Trusted Arti ficial Intelligence When Blockchain Meets Large Language Models)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Fresh data on Artificial Intelligence are presented in a new report. According to news reporting originating in Chengd u, People's Republic of China, by NewsRx journalists, research stated, "In recen t years, artificial intelligence (AI) and machine learning (ML) are reshaping so ciety's production methods and productivity, and also changing the paradigm of s cientific research. Among them, the AI language model represented by ChatGPT has made great progress." Financial supporters for this research include National Key Research & Development Program of China, National Natural Science Foundation of China (NSFC ), Natural Science Foundation of Sichuan Province, Open Research Projects of Zhe jiang Lab, PCL Future Greater-Bay Area Network Facilities for Large-Scale Experi ments and Applications. The news reporters obtained a quote from the research from the University of Ele ctronic Science and Technology of China, "Such large language models (LLMs) serv e people in the form of AI-generated content (AIGC) and are widely used in consu lting, healthcare, and education. However, it is difficult to guarantee the auth enticity and reliability of AIGC learning data. In addition, there are also hidd en dangers of privacy disclosure in distributed AI training. Moreover, the conte nt generated by LLMs is difficult to identify and trace, and it is difficult to cross-platform mutual recognition. The above information security issues in the coming era of AI powered by LLMs will be infinitely amplified and affect everyon e's life. Therefore, we consider empowering LLMs using blockchain technology wit h superior security features to propose a vision for trusted AI. This survey mai nly introduces the motivation and technical route of blockchain for LLM (BC4LLM) , including reliable learning corpus, secure training process, and identifiable generated content. Meanwhile, this survey also reviews the potential application s and future chAllenges, especiAlly in the frontier communication networks field , including network resource Allocation, dynamic spectrum sharing, and semantic communication."
ChengduPeople's Republic of ChinaAsi aArtificial IntelligenceCybersecurityEmerging TechnologiesMachine Learni ngUniversity of Electronic Science and Technology of China
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