large language models

Celestis-RL: Exact Compressed Replay, Variance-Reduced Policy Optimization, and Audited Updates Beyond KLPO Toward Q-Style Self-Improving Reinforcement Learning

Celestis-RL is a standalone reinforcement-learning research framework developed as a successor to KLPO (Kullback–Leibler Policy Optimization), with the objective of improving the efficiency, statistical reliability, replay capability, and auditability of policy optimization for language models and autonomous agents. It...

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...

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...

Clinical quality of large language model answers to questions about pancreatic cancer

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...

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...

Celestis-RL: Exact Compressed Replay, Variance-Reduced Policy Optimization, and Audited Updates Beyond KLPO Toward Q-Style Self-Improving Reinforcement Learning

Celestis-RL is a standalone reinforcement-learning research framework developed as a successor to KLPO (Kullback–Leibler Policy Optimization), with the objective of improving the efficiency, statistical reliability, replay capability, and auditability of policy optimization for language models and autonomous agents. It...

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...