large language models

Non-Equilibrium Geometric Field Theory of In-Silico Intelligence: Discrete Ricci Flow, Holographic Self-Encoding, and O(N) Autopoietic Cognition on Hypergraph Manifolds

We propose and establish a framework for post-transformer (post-llm) architecture within a new paradigm. Transformer architecture and large language models are libraries with probabilistic indices. The brain never constituted either intelligence, nor consciousness - not even processing. Brain processing is a category e...

Serverless, AI-Driven Diagnostic Platform for Automated Flow Regime Identification Using Large Language Models

Abstract Flow regime identification is important in decline curve analysis and rate transient analysis but the interpretation of high-frequency production data for flow regime identification remains highly subjective and computationally disjointed. Furthermore, passing proprietary well telemetry to cloud-based Artifici...

NLP-Digitox: An NLP and LLM-Driven Mobile Application for Managing Smartphone Overuse Among Students

NLP-Digitox is a privacy-oriented mobile application designed to help college students manage excessive smartphone use through behavioral monitoring and personalized intervention. The system combines on-device smartphone usage tracking with Natural Language Processing (NLP), sentiment analysis, and Large Language Model...

The Evolution of NVIDIA AI Accelerators and Their Impact on Artificial Intelligence Model Performance: A Comparative Analysis of NVIDIA A100, H100, H200, and Blackwell Architectures

The fast development of artificial intelligence (AI), especially in deep learning, generative AI, and large language models (LLMs), has increased the need for powerful computing hardware. GPUs and special AI accelerators have become an important part of modern AI systems. NVIDIA has been one of the main companies contr...

SISTEMA VARIACIONAL BIOFÍSICO PARA TECNOLOGIAS AVANÇADAS DE BATERIAS

SVBAC-DE: Modelo Multifísico e de Sistema para Baterias de Alto Desempenho — Uma Proposta de Modelagem Quântica, Predição e Controle Adaptativo Este estudo propõe uma arquitetura conceitual e computacional para a modelagem de baterias de alto desempenho baseada no Sistema Variacional Biofísico Acoplado da Dinâmica Elet...

Iterative Demand Response Algorithm for Human-Computer Cooperation Integrating Knowledge of Large Language Model

SABRINAL EL-RAKHAWI DOCUMENT: CONSCIOUSNESS, ARTIFICIAL INTELLIGENCE, AND LAW Foundations: Biology, Mind, and Legal Systems

This foundational document explores the intersection of consciousness, artificial intelligence, and law through three comprehensive books. Book One traces biological evolution from primordial replicators to human consciousness, examining genetic engineering and legal personhood. Book Two investigates artificial intelli...

qualembed: Embedding-Based Semantic Measurement and Calibration for Survey and Qualitative Text

A thin, auditable toolkit for measuring the meaning of nominal and narrative survey responses in the semantic space of large language model embeddings. One request layer over three commercial providers, an analysis layer of permutation-based statistics, and the displays the accompanying paper uses.

Data and code for Privacy-Aware Personalized Scheduling of Behind-the-Meter Energy Storage via an Edge-Resident Large Language Model

This release contains the data, code, frozen forecast caches, experiment protocols, and formal RK3588 results supporting the manuscript “Privacy-Aware Personalized Scheduling of Behind-the-Meter Energy Storage via an Edge-Resident Large Language Model”. Version 1.3.0 adds forecast-error bounds calibrated from a disjoin...

Cosmological Continuity Presentism (CCP): A Generative Spacetime Ontology Compatible with General Relativity

Cosmological Continuity Presentism (CCP) develops a presentist interpretation of relativistic spacetime in which reality exists only in the present while progressing through continuous causal-temporal evolution. Rather than treating spacetime as a completed four-dimensional block, CCP interprets reality as a continuous...

Bounding the Machine: A Cross-Case Study of Governed Autonomy in Five Enterprise Agentic Systems

Agentic systems built on large language models (LLMs) are entering regulated enterprise work faster than the theory that would tell us how their autonomy should be bounded. The presented study addresses that gap through an interpretive cross-case analysis of five agentic applications the author designed and built for a...

Measuring Consensus Across Language Models and the Limits of Normative Interpretation

Version 2.2.1. A pre-registered relational measurement of where large language models agree. Three registered hypotheses on seven deployments across five vendor families are supported: all-model consensus is rarer than a pooled-marginal independence baseline predicts; it concentrates where one option instantiates a cod...