### Example of Hierarchical Multi-Modal Task Decomposition Output

Source: https://github.com/arash-shahmansoori/hierarchical_planning_decompose_net/blob/main/hierarchical_planning_research.md

This snippet illustrates the fine-tuned model's ability to decompose a complex task into a two-layered hierarchical plan. Layer-1 provides abstract, high-level planning for different modalities, while Layer-2 offers detailed, actionable steps for each abstract task, demonstrating enhanced relevance and coherence.

```Text
Layer-1 Abstract Planning:

1. Product photography: Image.
2. Testimonial videos: Video.
3. Blog posts: Text.
4. Background sounds: Audio.


Layer-2 Detailed Planning:

1. Product Photography: Capture high-quality images of the eco-friendly product line. Ensure the photos showcase the unique features and benefits of the products. Use natural lighting and minimalistic backgrounds to emphasize the eco-friendliness.
2. Testimonial Videos: Record and edit videos of early users sharing their experiences with the product line. Focus on their positive feedback, the impact the products have had on their lives, and how they align with the eco-friendly values.
3. Blog Posts: Write and publish blog posts that highlight the sustainability aspects of the product line. Include information on the materials used, production processes, and the environmental benefits. Use engaging storytelling to connect with readers and encourage sharing.
4. Background Sounds: Create a series of soothing background sounds for IG stories. These sounds should be calming, eco-friendly, and complementary to the brand image. Use natural sounds like rain, wind, or birds chirping to evoke a sense of tranquility and connection to nature.
```

--------------------------------

### Citing Hierarchical Planning LLM Research

Source: https://github.com/arash-shahmansoori/hierarchical_planning_decompose_net/blob/main/README.md

Standard BibTeX entry for citing the 'Advancing Hierarchical Planning in Multi-Modal Task Decomposition Through Fine-Tuning Open Source LLMs' project. Use this citation if the work assists or inspires your research.

```BibTeX
@misc{hierarchical_planning_2024,
  title={Advancing Hierarchical Planning in Multi-Modal Task Decomposition Through Fine-Tuning Open Source LLMs},
  author={Arash Shahmansoori},
  year={2024},
  howpublished={\url{https://github.com/arash-shahmansoori/hierarchical_planning_decompose_net.git}},
}
```

--------------------------------

### Illustrating Fine-tuning and Training Workflow with Mermaid

Source: https://github.com/arash-shahmansoori/hierarchical_planning_decompose_net/blob/main/README.md

This Mermaid diagram visually represents the hierarchical fine-tuning and training process for the Mistral-7B v2 LLM, detailing the QLORA application, adapter training for abstract and detailed planning layers, adapter merging, and the TrImE process to achieve hierarchical planning capability.

```Mermaid
graph TD;
    A[Start: fine-tuning Mistral-7B v2 with QLORA] --> B[Training Adapter 1: Layer-1 Abstract Planning];
    A --> C[Training Adapter 2: Layer-2 Detailed Planning];
    B --> D[Merging Adapters];
    C --> D;
    D --> E[TrImE: Trimming, Election, and Merging Process];
    E --> F[End: Model with Hierarchical Planning Capability];
```

--------------------------------

### Mermaid Diagram of Hierarchical Planning Methodology

Source: https://github.com/arash-shahmansoori/hierarchical_planning_decompose_net/blob/main/hierarchical_planning_research.md

This diagram visually represents the five-step methodology for fine-tuning Mistral-7B v2 to achieve hierarchical planning capabilities. It illustrates the flow from initial QLORA fine-tuning through training distinct adapters, merging them, applying the TrImE process, and finally yielding the hierarchical planning model.

```Mermaid
graph TD;
    A[Start: fine-tuning Mistral-7B v2 with QLORA] --> B[Training Adapter 1: Layer-1 Abstract Planning];
    A --> C[Training Adapter 2: Layer-2 Detailed Planning];
    B --> D[Merging Adapters];
    C --> D;
    D --> E[TrImE: Trimming, Election, and Merging Process];
    E --> F[End: Model with Hierarchical Planning Capability];
```

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