Instructions to use Subject-Emu-5259/NeuralAI with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Subject-Emu-5259/NeuralAI with PEFT:
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| # NeuralAI Vibe Stack: Generative Multi-Modal Intelligence | |
| The Vibe Stack is the integration of high-velocity reasoning (NeuralAI LLM) and visual synthesis (NeuralAI Diffusion). This combination allows the Founder to move from concept to asset in a single flow. | |
| ## 🎨 Generative Pillars | |
| ### 1. Custom UI Mockups | |
| - **Prompt**: "Generate a wireframe for a Memphis-themed fintech app." | |
| - **Logic**: NeuralAI Diffusion denoises noise into structured wireframes, providing immediate visual feedback for application design. | |
| ### 2. Branding Assets | |
| - **Prompt**: "Create a logo for Harris Holdings with a Pegasus and a Memphis sunset vibe." | |
| - **Logic**: High-fidelity asset generation for branding, social media, and product identity. | |
| ### 3. Visual Logic Maps | |
| - **Prompt**: "Map out the architecture of the NeuralAI core service." | |
| - **Logic**: Turning complex backend logic into easy-to-understand visual diagrams. | |
| ## 🚀 Technical Architecture | |
| - **Engine**: Latent Diffusion UNet (Beta) | |
| - **Pipeline**: Prompt $\rightarrow$ CLIP Encoding $\rightarrow$ Diffusion Denoising $\rightarrow$ VAE Decoding | |
| - **Hardware**: CPU Optimized (Inference Phase) | |
| ## 🗺️ Scaling Roadmap | |
| - [x] Toy Proof of Concept (MNIST Denoising) | |
| - [x] Backend Integration (API Layer) | |
| - [ ] VAE Implementation for High-Resolution Outputs | |
| - [ ] Fine-tuning on Harris Holdings Branding Data | |