This repository is not: — A single fine-tuned model — A benchmark-optimized demo — A plug-and-play chatbot framework This repository is: — A systems-level research framework — An architectural foundation for long-term AI development — A modular design spanning cognition, memory, coherence, and governance — A public record of both execution and intent Conceptual elements are included intentionally to define constraints and direction early, rather than retrofitting them after s While AQARION introduces original constructs, it draws from and aligns with established research areas, including: — Transformer-based language modeling — Retrieval-augmented generation and structured memory systems — Knowledge graphs and hypergraph representations — Control theory and alignment research — Neuromorphic and temporal processing concepts Where AQARION diverges is in treating coherence, constraint, and governance as first-class architectural concerns, rather than — Engineers should focus on QUANTARION-AI, deployment workflows, and implemented tooling. — Researchers should treat the architectural and theoretical sections as a roadmap and constraint system. -…
Модальности:
Генерация текста
Области применения:
Логика и рассуждение
Задача: Генерация текста
Автор: Aqarion
Теги: artificial-intelligence, autonomous-agents, research, multi-modal, retrieval-augmented-generation, reasoning, education, science
Лайков: 4 | Загрузок: 0
Описание основано на материалах HuggingFace. Перевод выполнен автоматически.
