Subjects: Management Science >> Enterprise Management submitted time 2024-05-06
Abstract： The value of charitable resources in favour of medical relief for patients with illnesses from families with financial difficulties still lacks a micro-foundation to support macro-decision-making. Using the national standard GB/T14396-2016 and binary logistic regression model, we explore the value, limitations and reform direction of digital charity medical assistance. The study shows that: the overall completion rate of fund-raising goals is less than 30%, the long-tail effect regulated by the loose donation mechanism is less significant, there are obvious disease category differences in the value of aid, the probability of project occurrence divergence is obvious, and the value of aid for serious diseases does not have the universality of disease categories. Based on the fact that the public trust capital signals of fund-raising entities and online platforms are effectively recognized by the society, the value of relief is positively correlated with the recognition of the effectiveness of online fund-raising channels. The main contributions of this paper are to explore the shift from good governance to governance , from disease fund-raising performance to payment , and to construct a good governance to Health-care payment model.The main contribution of this paper is to explore the ideas and countermeasures of good governance to governance , disease fund-raising performance to medical expense payment , constructing a benefit assessment mechanism centred on social value creation , and empowering charitable medical aid by block-chain and meta-universe, which contributes new content to the study of social governance innovation. This paper contributes new content to the study of social governance based on the advantage of the system of concentrating power to do great things , and enriches the long-tail theory. There are deficiencies in this paper in terms of discounting the value of online medical services and revealing the inner mechanism of the application scenario of charitable medical aid empowered by emerging technological productivity.
Peer Review Status:
Awaiting Review
Subjects: Computer Science >> Natural Language Understanding and Machine Translation submitted time 2023-07-29
Abstract： At present, LLM（Large Language Model）adopts the technical path of "attention mechanism+deep learning"+"Reinforcement learning". In the field of AIGC (Artificial Intelligence Generated Content)，significant progress has been made, sparking hope for realization of AGI (Artificial General Intelligence). However, in those fields that need to interact with the actual environment, such as elderly care, family nanny, agricultural production, vehicle driving and other fields, the cost of trial and error is very high, and the reinforcement learning process that requires a lot of trial and error is difficult to achieve. So, in order to achieve universal artificial intelligence that can be applied to any field, we need to not only utilize existing technology, but also solve the shortcomings of existing technology, thereby promoting the further development of the technological wave of artificial intelligence. In this paper, we analyze the limitations of the Technology roadmap of the LLM, and propose solutions to these limitations, thus solving the inherent defects of Large Model. In this article, we will reveal how to implement True AGI step by step.
Peer Review Status:Awaiting Review
Hits
Hits
Downloads
Comment