AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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3,629 papers
Ternary conversion is unsuitable as a drop-in general replacement yet remains valuable as a compact substrate for task-specific models.
Pro-Router is proposed, a token-aware progressive model routing method with adaptive edge-cloud collaboration for efficient multimodal LLM inference and achieves the highest routing accuracy and improves routing speed by more than 10x.
Three building blocks toward a complete, privacy-preserving browser agent, a verified repair instrument pairing a trilingual seeded-violation benchmark with an audit-inject-verify loop, and a dual-condition protocol that measures harm as carefully as benefit are contributed.
While multi-agent LLM pipelines show real promise for legacy code specifically, since their capacity for autonomous context reconstruction and iterative, feedback-driven refinement directly addresses the sparse documentation and thin test coverage that define legacy environments, the literature to date has been validat...
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This study presents the first causally grounded structured methodology for embedding LLMs within the scientific method in SE, designed around the epistemological demands of empirical SE research, establishing a basis for rigorous AI-assisted research.
The findings suggest that AI-powered anomaly detection significantly strengthens observability and security in cloud-based applications, enabling proactive threat mitigation and operational optimization in increasingly complex distributed environments.
The results raise concerns that LLM-assisted evaluation may under-select proposals that human reviewers identify as highly novel, potentially reflecting the statistical logic of next-token prediction trained on past scientific outputs.
A constrained formulation in which the tools that carry class discriminative signal form a mandatory core placed outside the policy’s reach, while the remaining choice minimizes the measured invocation cost, which is subjected to an explicit relative accuracy floor.
The rapid advancement of large language models (LLMs) offers transformative potential for secondary physics education. However, theoretical and practical frameworks for responsible, pedagogically sound LLM integration remain underdeveloped. This paper proposes a structured, theory-grounded framework for embedding LLM...
The next big jump will not be driven by larger parameters, but smaller, more visible and dynamic systems that can be trusted by security analysts, as well as a disconnect between lab and reality.
Three-dimensional printing is currently closer to routine clinical use than vascular bioprinting, particularly in anatomical modeling, treatment planning, procedural simulation, education, and patient communication.
Clinical deployment of artificial intelligence-generated radiology reports requires explicit entity-relation validation, structured accuracy assessment, and radiologist oversight to protect patient safety, and these findings reinforce a broader principle.
A Blog post by NVIDIA on Hugging Face
Data Mining & Modeling
A Blog post by Ai2 on Hugging Face
A Blog post by IBM Research on Hugging Face
We’re on a journey to advance and democratize artificial intelligence through open source and open science.
A Blog post by IBM Granite on Hugging Face
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