AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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2,863 papers
Spatial intelligence requires models to infer and maintain coherent three-dimensional structure, preserve objects and relations across viewpoints, compose interactable environments, and respect geometric and physical constraints. Progress toward such world models is limited by two forms of data scarcity: a shortage of...
AviGPT-250M-Instruct is a 250M-parameter autoregressive small language model (SLM) introducing a Semi-Parametric Decoupling paradigm for resource-constrained edge computing. Rather than overloading transformer weights with static encyclopedic memorization and floating-point arithmetic approximation, AviGPT-250M delegat...
A privacy-first, self-hosted gateway for local large language models (Ollama). Pukara runs a Dockerized Ollama server behind an application-layer encrypted proxy, and ships a desktop client that pseudonymises sensitive entities on-device (BERT + regex) before anything leaves the machine. The name Pukara (Quechua for "f...
Abstract Comparative judgment (CJ) is an assessment method in which assessors compare pairs of essays and judge which is of higher quality. While CJ produces valid and reliable results, it often requires many judgments before quality scores become reliable. In this study, we examine whether natural language processing...
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This article analyzes the pedagogical and methodological foundations of developing students’ speaking skills in English language lessons. Speaking skills are regarded as an essential component of communicative competence in foreign language acquisition. The study examines the potential of the communicative approach, Ta...
his paper investigates whether the linguistic content of project descriptions from major voluntary carbon registries can predict credit issuance and retirement outcomes, focusing on forest-based carbon projects. We apply natural language processing techniques including lemmatisation, bigram analysis, semantic families...
OSIRIS is a local-first console built around a small language model (osiris.nclm) that learns from every conversation and from the author's documents, and answers in its own voice only after passing a held-out test (30 held-out exchanges at ≤ 2.0 bits/byte and below a unigram baseline). Until then a local Ollama model...
AI systems that research a topic rely on what is published on the web. Much useful knowledge is not published. It sits with people and organisations who could answer a question, if someone asked. dialogue.txt is a small, machine-readable file on a website (/.well-known/dialogue.txt). It tells a searching AI system four...
We live at a hinge point in the history of education. For more than a century, schools, colleges, and training institutions have refined methods that scale instruction through curricula, standardized assessments, and classroom routines. Today, artificial intelligence is opening new pathways that promise to reshape thos...
This research note proposes a comparative program for examining how far different levels of descriptive granularity remain sufficient in models of biological behavior. Rather than assuming that one explanatory level is universally correct, the paper separates model scope, granularity, form, available information, and l...
Behavioral continuity in a stateless language model — the consistency of its decisions, style, values, andrelational stance — is observable in interaction, but the external state conditions that support it are hard toinspect, compare, and transport. We present EFS, a structured external state-injection scaffold, as a m...
AviGPT-250M-Instruct is a 250M-parameter autoregressive small language model (SLM) introducing a Semi-Parametric Decoupling paradigm for resource-constrained edge computing. Rather than overloading transformer weights with static encyclopedic memorization and floating-point arithmetic approximation, AviGPT-250M delegat...
Earth AI
A Blog post by Ai2 on Hugging Face
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