| 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 | |