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base_model: HuggingFaceTB/SmolLM2-360M-Instruct
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library_name: peft
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pipeline_tag: text-generation
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tags:
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# Model Card for Model ID
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## Model Details
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### Model Description
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## Uses
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### Direct Use
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### Recommendations
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Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
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## How to Get Started with the Model
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Use the code below to get started with the model.
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[More Information Needed]
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## Training Details
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- **Hours used:** [More Information Needed]
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# 🧠 NeuralAI: The Generative AI Engine
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<img src="neuralai_banner.svg" alt="NeuralAI - Your AI. On your hardware. In your browser." />
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## 📊 Repository Composition
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| Language | Percentage |
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| --- | --- |
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| Python | 71.1% |
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| HTML | 13.0% |
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| JavaScript | 12.4% |
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| CSS | 2.6% |
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| Shell | 0.4% |
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| Jupyter Notebook | 0.3% |
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| Jinja | 0.2% |
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**The High-Velocity Model for Your Entire Vibe Stack**
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NeuralAI is the central intelligence engine developed by **De'Andrew Preston Harris**. Conceived and engineered by **De'Andrew Preston Harris** (Founder), it is a highly tuned, DPO-aligned multimodal AI ec\[...\]
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---
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## 🌟 Vision & Manifesto
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NeuralAI doesn't just predict text; it *operates the work*. The core mission is to create a multimodal generative system that bridges the gap between raw idea and execution. By fusing autoregressi\[...\]
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Born from resilience and ambition in Memphis, Tennessee and West Memphis, Arkansas, NeuralAI represents a forward-thinking approach to personal, private AI computing.
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---
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## 🛠️ Tech Stack & Architecture (v7.1-alpha)
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NeuralAI is built on a high-performance, containerized architecture that marries local inference with cloud-grade storage.
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### Core Stack
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- **Core Model**: `SmolLM2-360M-Instruct` (DPO v15.0 Aligned for logic, math, multi-step reasoning, and debugging)
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- **Vocal Identity**: Andrew (Warm/Multilingual) - Optimized for Live Speech-to-Speech (S2S)
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- **Backend Framework**: Python / Flask (Core Service)
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- **Storage & Database**: SQLite3 (Metadata) + Nextcloud Hub via NeuralCloud WebDAV Client (NeuralDrive)
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- **Inference Engine**: PyTorch (CPU/Edge Optimized)
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- **Frontend UI**: Vanilla JS, HTML5, CSS3 with an advanced Dark Mode layout
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### Core Architectural Pillars
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1. **NeuralAI Core**: Handles chat state, direct model inference, terminal session proxying, and tool orchestration.
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2. **NeuralDrive (Cloud Storage)**: The intelligent data layer for all projects, featuring isolated user storage, automatic versioning, and semantic mapping.
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3. **Diffusion Engine**: An integrated generative diffusion layer for producing visual branding assets, UI mockups, and visual logic maps.
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4. **Agentic Orchestrator**: A high-autonomy layer enabling NeuralAI to plan, reason, and execute multi-step workflows across the OS and web, moving beyond simple chat to active goal achievement.
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---
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## ✨ Key Features & Capabilities
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### 💬 Multimodal Chat & Agentic Intelligence
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- **High-Velocity Text Inference**: Fast, local inference with deep context awareness.
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- **Deep Reasoning Mode**: Integration of test-time compute and chain-of-thought reasoning for complex problem decomposition and error-free logic.
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- **Autonomous Agentic Workflows**: Ability to operate as an agent—interacting with the browser, terminal, and third-party apps to complete end-to-end tasks with minimal supervision.
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- **Live S2S (Speech-to-Speech)**: Real-time voice interaction with an integrated microphone interface and fluid vocal responses.
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- **Identity Vault & Memory**: Persistent user memory and rule constraints, ensuring NeuralAI remembers preferences, behavioral rules, and historical context.
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### 💻 Developer & Engineering Tools
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- **Integrated Web Terminal**: A fully functional, WebSocket-driven terminal embedded directly in the web UI for immediate environment control.
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- **File Workspace**: An in-browser IDE experience allowing users to browse directories, read, and write code seamlessly.
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- **Code Execution & Sandbox**: Secure environment for the model to execute and test code on the fly.
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### 🔐 Authentication & Access Tiers
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- **Founder Mode**: Ultimate root-level access and system control.
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- **Maestro Student Portal**: Tiered access for educational and collaborative development.
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- **Guest Preview**: Frictionless instant access for testing the system without an account.
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---
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## 🏋️ Model Training & Fine-Tuning (DPO)
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NeuralAI is continuously learning and improving through rigorous **Direct Preference Optimization (DPO)**.
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### Training Pipeline
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```python
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# Example of the DPO alignment configuration used in NeuralAI
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dpo_config = DPOConfig(
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beta=0.1,
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learning_rate=5e-5,
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per_device_train_batch_size=4,
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gradient_accumulation_steps=4,
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max_length=1024,
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max_prompt_length=512,
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)
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```
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- **Dataset Expansions**: The dataset is aggressively expanded to include advanced reasoning, complex mathematics, logical deduction, creative writing, and system debugging.
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- **Behavioral Alignment**: NeuralAI is aligned using Gemini-style behavioral principles—prioritizing safety, structured reasoning, helpful conversational flow, and transparent step-by-step explanations. Training enforces clear Markdown formatting, code-first responses, and rejection of boilerplate or overly verbose outputs.
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- **Model Drift Monitoring**: Continuous evaluation against previous checkpoints to ensure response quality and consistency never regress.
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### Latest Alignment Run: v15.0
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- **Training samples**: 597 (expanded DPO preference pairs)
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- **Epochs**: 3
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- **Steps**: 450
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- **Final training loss**: `0.305`
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- **Reward margin**: improved from `~0.5` → `~3.5` (model strongly prefers chosen responses)
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- **Hardware**: Apple Silicon MPS (MacBook Air M4)
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- **Run duration**: `730.5s` (~12m 11s)
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- **Completed**: `2026-07-11 20:00 UTC`
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- **Adapter**: live on Hugging Face at [`Subject-Emu-5259/NeuralAI`](https://huggingface.co/Subject-Emu-5259/NeuralAI)
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> The v15 dataset (`data/train_dpo_v15.jsonl`) was generated by expanding the template pools in `training/build_dataset_v15.py` from 302 → 597 unique preference pairs covering code correctness, logic, reasoning, debugging, and multi-step tasks.
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---
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## 📸 Brand & UI Gallery
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*(UI screenshots showcase the beautiful dark mode interface, the terminal integration, and the NeuralDrive file explorer.)*
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```html
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<!-- Example Frontend UI Component Structure -->
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<div class="neural-chat-container">
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<div class="message-bubble ai-response">
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NeuralAI: System optimal. Ready for execution.
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</div>
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</div>
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```
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---
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## 🗺️ Implementation Roadmap
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- ✅ **Phase 1: Alignment** - DPO training for Founder context and optimal engineering tone.
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- ✅ **Phase 2: NeuralDrive** - Deployment of the Cloud Storage File Server.
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- ✅ **Phase 3: Terminal UI** - Integrated command-line access within the browser.
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- ✅ **Phase 4: Live S2S** - High-velocity Live Speech-to-Speech conversations.
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- ✅ **Phase 5: "Founder Mode"** - Enhancements to vocal profile and streamlined UI.
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- ✅ **Phase 6: Frontend Polish** - Dark themes, real-time code execution display, UI stability.
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- ✅ **Phase 7: Diffusion Integration** - Implementation of Text2Img & Img2Img capabilities.
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- 🚀 **Phase 8: Knowledge Graph & Agentic Autonomy** - Advanced long-term memory for cross-project context, "Supermemory" features, and fully autonomous task execution.
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---
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## 🎯 Future Vision: The Software Transition
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NeuralAI is evolving from a workspace-bound assistant into a standalone, downloadable intelligence environment.
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**Project Code Name**: `NeuralLabs` (Working Title)
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**Vision**: A local-first, AI-native operating environment that integrates the Agentic Orchestrator, World-Brain, and NeuralDrive into a seamless desktop experience—similar to the "Codex" model but expanded into a full cognitive workspace.
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### 🚀 Roadmap Addition: The NeuralLabs Shift
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- **NeuralLabs v1 (Client)**: Development of a cross-platform wrapper (Electron/Tauri) for the NeuralAI interface.
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- **NeuralLabs v2 (Edge)**: Local model execution (Llama/Mistral) as a fallback for the cloud-based NeuralAI core.
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- **NeuralLabs v3 (Eco)**: Plugin architecture allowing third-party "Neural-Skills" to be installed as standalone apps.
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---
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## 👨💻 The Developer & Architect
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**De'Andrew Preston Harris** (D. Harris / Dre)
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*Founder & Architect of NeuralAI*
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A dedicated software engineer, thinker, and builder from West Memphis, AR. De'Andrew is currently pursuing an AAS in AI Software Engineering at Maestro College. NeuralAI is the culmination of his\[...\]
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- **Location:** Memphis, TN / West Memphis, AR
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- **Vision:** Building the future of private, high-performance generative AI.
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- [LinkedIn](https://www.linkedin.com/in/deandrewharris94/) | [GitHub](https://github.com/Subject-Emu-5259)
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---
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*Built with precision and discipline by De'Andrew Preston Harris.*
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### CURRENT VERSION: v7.1-alpha (The Agentic Operator)
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- **Model Alignment**: DPO v15.0 Aligned (597 pairs, Logic, Debugging, Reasoning)
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- **Last Maintenance**: July 11, 2026
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Your tone is technical, concise, and professional. You prioritize system stability and cleanliness above all else.
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---
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## 🚀 Deployment
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NeuralAI ships two containerized deployments, both pulling the LoRA adapter from Hugging Face at runtime:
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| Deployment | Dockerfile | Stack | Status |
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| --- | --- | --- | --- |
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| **Gradio Demo** | `gradio_space/Dockerfile` | Gradio 6.x chat UI | ✅ Built & deployed (Metal builder, healthcheck `/`) |
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| **Flask Web Chat** | `webui_space/Dockerfile` | Flask + `neural_core_service.py` | 🚀 Ready for Railway (`railway.json`) |
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- **Adapter source**: [`Subject-Emu-5259/NeuralAI`](https://huggingface.co/Subject-Emu-5259/NeuralAI) — auto-pulled on startup via `snapshot_download`, so retraining + pushing updates the live model on next restart.
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- **8-bit quantization** (`QUANTIZE=1`) keeps the 360M model under the 512 MB free-tier RAM limit.
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- **GitHub → HF sync**: `.github/workflows/sync_to_huggingface.yml` uploads only the LoRA adapter (not the 1.5 GB repo) on every push to `master`.
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---
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# 🌌 NeuralAI Project Manifest
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NeuralAI is the intelligence core that powers the ecosystem.
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## 🔗 Ecosystem Integration
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The standalone software implementation of this core is **NeuralLabs**:
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👉 [https://github.com/Subject-Emu-5259/NeuralLabs](https://github.com/Subject-Emu-5259/NeuralLabs)
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**Software Downloads**:
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The latest beta builds (v0.1-Beta) of NeuralLabs are available at:
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👉 **[https://zo.pub/deandrewharris/neurallabs-beta](https://zo.pub/deandrewharris/neurallabs-beta)**
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# NeuralAI → Hugging Face sync is live
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