AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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3,629 papers
Background Mental health problems impose a substantial social and economic burden in China. Yet population-based mental-health research has paid limited attention to literary literacy as a cultural resource embedded in everyday life. This study examines literary literacy as a multidimensional construct associated with...
The spread of Generative Artificial Intelligence and large language models (LLMs) has opened new possibilities for non-specialists to conceptualize and build functioning software on their own. This study exploratorily analyzes how a single user without formal programming training employed generative LLMs to develop, re...
This bilingual Chinese–English research monograph develops a controlled structural correspondence between a psychological–phenomenological account of third-order consciousness and the mathematics of AF-by-discrete groupoids. On the psychological side, the work asks how experience becomes organized as “my experience,” h...
Initial Research Release This is the first public release of Security in LLM-Generated Code. This release contains the research materials, experimental code, datasets, analysis scripts, findings, and supporting documentation associated with the study. Contents Research paper and supporting documentation Experimental da...
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This release presents Contract-Grounded Cognitive Composition (CGCC), an engineering framework for improving the reliability of LLM multi-agent systems through deterministic workflow topology, shared interface contracts, and local validation. The study reports three exploratory experiments conducted with a local qwen3....
The findings indicate that the developed application is valid, practical, and capable of supporting SIBI learning in preliminary classroom implementation, and should be interpreted within the scope of a limited trial involving a small sample size and the absence of a control group.
The spread of Generative Artificial Intelligence and large language models (LLMs) has opened new possibilities for non-specialists to conceptualize and build functioning software on their own. This study exploratorily analyzes how a single user without formal programming training employed generative LLMs to develop, re...
Current mainstream artificial intelligence models including convolutional neural networks and large language models rely on statistical fitting over fragmented input symbols. Vision models fit pixel distributions, while language models predict next‑token probabilities. This paradigm is essentially pattern‑matching and...
Initial Research Release This is the first public release of Security in LLM-Generated Code. This release contains the research materials, experimental code, datasets, analysis scripts, findings, and supporting documentation associated with the study. Contents Research paper and supporting documentation Experimental da...
This bilingual Chinese–English research monograph develops a controlled structural correspondence between a psychological–phenomenological account of third-order consciousness and the mathematics of AF-by-discrete groupoids. On the psychological side, the work asks how experience becomes organized as “my experience,” h...
A glass-box creativity engine, the Concept Collider, rests on a single primitive: a concept is not merely a point but a structure held under tension, and pressing it along one of seven fracture types breaks it in a characteristic way. That taxonomy is load-bearing—every profile, every homology score, every negative-spa...
According to the drawbacks of large language model, I design a new agent which can overcome the drawbacks. The agent contains four deep neural networks, which is abstract network, concrete network, decision network, execution network. Each of the four networks just do one thing, so it focus what it can do just like bra...
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We’re on a journey to advance and democratize artificial intelligence through open source and open science.
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