论文简述:在这篇论文中,作者探讨了在构建AI对话模型时,应遵循特定原则还是通用原则。通过对比人类反馈和基于原则的反馈对AI行为的影响,研究发现,特定原则可以有效地防止表达有害行为,如追求自我保存或权力。然而,这种方法可能无法自动缓解潜在的微妙问题,如寻求自我保存或权力的愿望。为了测试模型是否可以从单一书面原则中...
Specific vs general cognitive remediation for executive functioning in schizophrenia: A multicenter randomized trial. Schizophrenia Research, 147(1), 68-74.Franck N et al. Specific vs general cognitive remedi- ation for executive functioning in schizophrenia: a multicenter randomized trial. Schizophr Res...
Other terms for AGI include strong AI or general AI. These theoretical forms of AI stand in contrast to weak or narrow AI, which can perform only specific or specialized tasks within a predefined set of parameters. AGI would be able to autonomously solve a variety of complex problems across ...
Implementation of the specific Transformer architecture from PaLM - Scaling Language Modeling with Pathways deep-learningtransformersartificial-general-intelligenceattention-mechanism UpdatedNov 9, 2022 Python A fast and minimal framework for building agent-integrated systems ...
Unlike the narrow, task-specific AI applications that are prevalent today, such as voice assistants or self-driving cars, AGI would be capable of applying its intelligence to an unrestricted variety of complex problems, much like a hum...
Driver对 (一对两对的对):specific/mini VS general 老是听说miniport,port,在这里算是搞清楚了。mini就是specific(特殊)的意思。在微软的驱动层次里面,最底层的一般都是比较特殊的,但是为了满足系统的可拓展、可维护、通用等要求,微软做了很多类似HAL的东东。存储类型有很多,比如ATA,SCSI,PCIe/NVMe等等。为了尽量...
The quest for creating thinking machines has split artificial intelligence into two fields: Narrow AI, what we have, and general AI, what we wish to achieve
Problem-solving:Weak AI excels at solving specific, well-defined problems, but AGI would need to solve problems the way a human would, with reasoning and critical thinking. The AGI would need to handle uncertainty and make decisions with incomplete information. ...
In contrast, weak AI excels at completing specific tasks or types of problems. Many existing AI systems use a combination of machine learning (ML),deep learning(a subset of machine learning),reinforcement learningand natural language processing (NLP) for self-improving and to solve specific types...
For AI+ fields, such foundation models could be quickly adapted to specific working context or environment, thanks to their strong generalization abilities. For example, in healthcare, multimodal foundation models could make full use of case data in multi-modality (e.g., computed tomography data,...