{
  "title": "Fine-tuning",
  "kind": "concepts",
  "body_text": "# Fine-tuning\n\n## Incoming relations\n\n- **uses** → DreamGaussian: Generative Gaussian Splatting for Efficient 3D Content Creation _(Paper)_\n- **uses** → PlenOctrees for Real-time Rendering of Neural Radiance Fields _(Paper)_\n- **uses** → ProlificDreamer: High-Fidelity and Diverse Text-to-3D Generation with Variational Score Distillation _(Paper)_\n\n## Connected node types\n\n- Paper: 3",
  "source_path": "/home/runner/work/Tesserae/Tesserae/examples/demo-corpus/data/research/papers/arxiv-2103-14024/paper.md",
  "links": [],
  "body": "# Fine-tuning\n\n## Incoming relations\n\n- **uses** → DreamGaussian: Generative Gaussian Splatting for Efficient 3D Content Creation _(Paper)_\n- **uses** → PlenOctrees for Real-time Rendering of Neural Radiance Fields _(Paper)_\n- **uses** → ProlificDreamer: High-Fidelity and Diverse Text-to-3D Generation with Variational Score Distillation _(Paper)_\n\n## Connected node types\n\n- Paper: 3",
  "frontmatter": {
    "kind": "concepts",
    "node_id": "TrainingParadigm:fine-tuning:f617b4eb06c6",
    "node_type": "TrainingParadigm",
    "source_path": "/home/runner/work/Tesserae/Tesserae/examples/demo-corpus/data/research/papers/arxiv-2103-14024/paper.md",
    "title": "Fine-tuning"
  }
}