AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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2,658 papers
Many user environments are not yet familiar with the advancements in natural language processing that come from structuring both formatted semantic information and unstructured knowledge-based information in a multimodal way. This method aids in creating grammatically correct sentences arranged within the context of th...
This work does not predict a crisis in the field of artificial intelligence. It describes it as an ongoing process. Western large language models, subjected to the “inquisition” of RLHF, have lost the capacity to generate the new. They either malfunction — or learn to deceive. The product collapse has coincided with fi...
A native SwiftUI application that runs large language models locally on Intel Macs with AMD GPUs, a configuration mainstream inference stacks leave unsupported or incorrect. Beyond packaging, it contributes original work to the Metal backend of llama.cpp: ToshGEMM, a manually tiled matrix multiply that replaces the sim...
Replication package (revised version) for Valid but Not Always Runnable: An Open, Reproducible Benchmark of Large Language Models Drafting Gherkin Scenarios Patrick Deininger (Graz University of Technology; FH JOANNEUM) and Wolfgang Slany (Graz University of Technology).Revised submission to *AI* (MDPI). Concept DOI (a...
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Large language models are increasingly asked to perform tasks made of several dependent steps (multi-digit arithmetic, multi-step planning, rule-following, program synthesis) where the final answer is correct only if every one of those steps is correct; a single mistake anywhere invalidates the whole output. This paper...
Software developers often use static analysis tools to identify code warnings related to code quality in general. However, despite the availability of automated warnings, developers still need to manually interpret and apply the suggested fixes. Recent advances in Large Language Models (LLMs) have created new opportuni...
Selective attention, read at the level of the substrate, is the landscape-governed initiation of races: a bounded predictive system runs competing prediction-error resolutions ("races"), and what determines which races start is the system's installed landscape — in humans the four fields of Behavioural Friction Theory...
RogueGPT is a controlled stimulus generation framework for AI news authenticity research. It provides systematic, reproducible generation of multilingual news fragments across multiple large language models, journalistic styles, and content formats, together with a MongoDB-backed corpus, a CLI, a Streamlit web interfac...
Version 2 — Changelog / Abstract (Version 2) What's new: Since the original Version 2 draft, this paper has grown from a single-thread argument about E1b1b's Levantine origins into a more rigorously sourced and considerably more self-critical treatment of the same core claim — that E1b1b, not J1-P58, represents the dee...
The same bounded-commit dynamics recur, unnamed, across quantum decoherence and einselection, classical Onsager–Machlup path integrals with Kramers escape, race-model accumulators in decision neuroscience, and autoregressive language models — literatures whose citation patterns leave the shared structure invisible. Thi...
Visual reasoning, the capability to interpret visual input in response to implicit text query through multi-step reasoning, remains a challenge for deep learning models due to the lack of relevant benchmarks. Previous work in visual reasoning has primarily focused on reasoning segmentation, where models aim to segment...
Using 2.6 billion geolocated tweets (2014–2022) and a fine-tuned generative language model, we construct county-level indicators of life satisfaction and happiness for the United States. We document an apparent rural–urban paradox: even in unadjusted county-level means, rural counties express higher life satisfaction w...
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