File size: 912 Bytes
c323b52 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 | cff-version: 1.2.0
message: "If you use this software, please cite it as below."
type: software
title: "SRTRBM-LLM-HYBRID"
version: "v1.0.1"
date-released: 2026-03-25
authors:
- family-names: "Süleymanoğlu"
given-names: "Görkem Can"
doi: 10.5281/zenodo.19211121
url: "https://doi.org/10.5281/zenodo.19211121"
repository-code: "https://github.com/cagasolu/srtrbm-llm-hybrid"
repository-artifact: "https://huggingface.co/cagasoluh/MYRA"
abstract: >
A hybrid AI system combining thermodynamic generative modeling (SR-TRBM),
neural refinement, and LLM-based multimodal interpretation for analyzing
attractor dynamics and convergence behavior.
keywords:
- SR-TRBM
- Restricted Boltzmann Machines
- Large Language Models
- GPT
- Energy-Based Models
- Thermodynamic Learning
- Generative Modeling
- Attractor Dynamics
- Convergence Analysis
- Neural Refinement
- Multimodal AI
|