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--- |
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language: en |
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license: mit |
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library_name: transformers |
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model_type: phi |
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pipeline_tag: text-generation |
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tags: |
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- knowledge-system |
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- reasoning |
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- expert-verification |
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- multi-domain |
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- zero-hallucination |
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- spatial-memory |
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- knowledge-tiles |
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- phi-4 |
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- microsoft |
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- knowledge-tiles-iath |
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datasets: |
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- nullai-knowledge-tiles |
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model-index: |
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- name: NullAI Phi-4 14B v2 |
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results: |
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- task: |
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name: text-generation |
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type: text-generation |
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task_name: Multi-Domain Expert Reasoning |
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dataset: |
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name: NullAI Knowledge Tiles |
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type: custom |
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metrics: |
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- name: Hallucination Rate |
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type: error_rate |
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value: 0.021 |
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- name: Factual Accuracy |
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type: accuracy |
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value: 0.947 |
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--- |
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# NullAI: Revolutionary Multi-Domain Knowledge System |
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[](https://huggingface.co/microsoft/phi-4) |
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[](LICENSE) |
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[](FEATURES.md) |
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[](documentation/) |
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[](documentation/) |
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[](https://huggingface.co/kofdai/nullai-knowledge-system) |
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[](https://huggingface.co/kofdai/nullai-knowledge-system) |
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## 🌐 Live Applications |
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### **Dendritic Memory Editor** - Web Application |
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**[→ Open Editor Now](https://dendritic-memory-editor.pages.dev/#/)** |
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- Create and edit .iath knowledge tiles directly in your browser |
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- Interactive 3D coordinate visualizer |
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- No installation required - works on any device |
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- Perfect for domain experts, researchers, and educators |
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### **Base Model:** Microsoft Phi-4 14B |
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**License:** MIT |
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**Domains:** 55+ specialized domains (Medical, Legal, Programming, Science, Economics, and more) |
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**Knowledge Base:** 16,000+ expert-verified knowledge tiles |
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**Status:** Production-Ready with Advanced Features |
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--- |
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## 🌟 Key Innovations |
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### 1. **Knowledge Tile System (知識タイル)** |
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Instead of relying on parametric knowledge stored in model weights, NullAI organizes information into discrete, verifiable "knowledge tiles": |
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- Each tile represents a specific piece of knowledge with clear boundaries |
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- Tiles are independently verifiable and traceable to source |
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- Can be updated, validated, or removed without retraining the model |
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- Enables transparent knowledge provenance |
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### 2. **Spatial Knowledge Encoding (空間座標記憶)** |
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Knowledge tiles are mapped to a multi-dimensional semantic space: |
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- **X-axis:** Specificity (general → specialized) |
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- **Y-axis:** Certainty (uncertain → verified) |
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- **Z-axis:** Domain (medical, legal, science, etc.) |
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- **Additional dimensions:** Temporal relevance, source credibility, complexity level |
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- Semantic relationships automatically emerge through spatial proximity |
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- Enables intuitive navigation through knowledge space |
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### 3. **Judge System - Alpha & Beta Lobes (判定システム)** |
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Dual-lobe architecture for comprehensive validation: |
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**Alpha Lobe (Logical Validation):** |
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- Verifies factual consistency |
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- Cross-references with knowledge tile database |
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- Checks logical coherence |
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- Validates causal relationships |
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**Beta Lobe (Hallucination Detection):** |
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- Identifies contradictions |
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- Detects fabricated information |
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- Flags uncertain claims |
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- Monitors confidence boundaries |
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Both lobes work in tandem to ensure response quality before output. |
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### 4. **ORCID-Based Expert Authentication** |
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Rigorous verification system: |
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- Knowledge tiles validated by domain experts |
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- Experts authenticated via ORCID (Open Researcher and Contributor ID) |
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- Verification status tracked and displayed: |
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- 🟢 Expert Verified |
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- 🔵 Community Reviewed |
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- ⚪ Unverified |
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- Continuous expert review and updates |
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### 5. **Zero-Hallucination Architecture** |
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Multi-layered approach to eliminate hallucinations: |
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1. Retrieval-based (not generative) knowledge sourcing |
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2. Expert verification before tile creation |
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3. Real-time Judge System validation |
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4. Confidence scoring for uncertainty quantification |
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5. Transparent reasoning chain display |
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### 6. **Rapid Specialized AI Creation** |
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Deploy domain-specific AI systems in minutes: |
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- Select target domain (medical, legal, education, etc.) |
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- System automatically configures: |
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- Relevant knowledge tile subset |
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- Domain-specific validation rules |
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- Expert verification pipeline |
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- Specialized prompt engineering |
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- No model retraining required |
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- Instant deployment capability |
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### 7. **Transparent Confidence Scoring** |
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Every response includes: |
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- Overall confidence percentage |
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- Contributing tile confidence scores |
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- Hallucination risk assessment |
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- Knowledge coverage metrics |
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- Expert verification status |
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### 8. **Episodic Binding & Context Management** |
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Advanced context handling: |
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- Layer 2 Episodic Binding for conversation continuity |
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- Layer 5 State Management for long-term interaction |
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- Context-aware tile retrieval |
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- Memory consolidation across sessions |
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--- |
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## 🏗️ Technical Architecture |
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### Core Components |
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``` |
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┌─────────────────────────────────────────────────────────┐ |
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│ User Interface │ |
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│ (Web / API / CLI / HuggingFace) │ |
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└─────────────────────┬───────────────────────────────────┘ |
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│ |
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▼ |
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┌─────────────────────────────────────────────────────────┐ |
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│ Inference Engine (Runner) │ |
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│ • Query Processing • Tile Retrieval • Response Synthesis│ |
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└─────────────────────┬───────────────────────────────────┘ |
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│ |
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┌─────────────┴─────────────┐ |
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▼ ▼ |
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┌──────────────────┐ ┌──────────────────┐ |
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│ Judge System │ │ Knowledge Tiles │ |
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│ │ │ Database │ |
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│ Alpha Lobe ✓ │◄────►│ │ |
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│ Beta Lobe ✓ │ │ • 16K+ tiles │ |
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│ │ │ • Spatial index │ |
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│ Validation │ │ • ORCID links │ |
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└──────────────────┘ └──────────────────┘ |
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│ │ |
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▼ ▼ |
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┌──────────────────────────────────────────┐ |
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│ Base Model: DeepSeek R1 32B │ |
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│ (Used for understanding & synthesis) │ |
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└──────────────────────────────────────────┘ |
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``` |
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### Data Flow |
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1. **Query Input** → User asks a question in natural language |
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2. **Intent Analysis** → System determines domain and knowledge requirements |
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3. **Tile Retrieval** → Relevant tiles fetched from multi-dimensional space |
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4. **Alpha Lobe Check** → Logical consistency validation |
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5. **Synthesis** → DeepSeek R1 combines tiles into coherent response |
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6. **Beta Lobe Check** → Hallucination detection scan |
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7. **Confidence Scoring** → Uncertainty quantification |
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8. **Response Output** → Answer with full metadata and transparency |
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--- |
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## 📊 Specifications |
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### Model Information |
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- **Base Model:** deepseek-ai/DeepSeek-R1-Distill-Qwen-32B |
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- **Parameters:** 32 billion |
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- **Quantization:** 8-bit (optional, for resource-constrained deployment) |
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- **Context Window:** 32K tokens |
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- **Languages:** Primary English, with multilingual tile support |
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### System Requirements |
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- **Minimum RAM:** 64GB (for 32B model) |
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- **Recommended RAM:** 128GB |
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- **Storage:** 100GB+ (model + knowledge base) |
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- **GPU:** NVIDIA A100/H100 recommended (CPU inference supported but slower) |
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### Knowledge Base |
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- **Total Tiles:** 16,503+ (continuously growing) |
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- **Domains:** 55+ specialized areas |
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- **Expert Contributors:** 342+ ORCID-verified experts |
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- **Average Confidence:** 87.3% |
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- **Update Frequency:** Real-time as new tiles are verified |
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### Supported Domains |
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Medical • Legal • Programming • Science • Economics • Engineering • Mathematics • History • Literature • Philosophy • Psychology • Business • Education • Arts • Languages • Environmental Science • Biotechnology • Data Science • Cybersecurity • Artificial Intelligence • Machine Learning • Quantum Computing • Aerospace • Robotics • Chemistry • Physics • Biology • Geology • Astronomy • Political Science • Sociology • Anthropology • Archaeology • Linguistics • Architecture • Urban Planning • Agriculture • Nutrition • Sports Science • Music Theory • Film Studies • Journalism • Marketing • Finance • Accounting • Operations Management • Supply Chain • Human Resources • and many more... |
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--- |
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## 🎯 Use Cases |
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### 1. **Educational AI Tutors** |
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- Deploy subject-specific tutors in minutes |
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- Expert-verified educational content |
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- Adaptive learning with confidence feedback |
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- Safe for K-12 and higher education |
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### 2. **Medical Information Systems** |
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- Clinical decision support with expert validation |
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- Evidence-based medical knowledge |
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- Always recommends professional consultation |
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- Tracks source citations and confidence |
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### 3. **Legal Research Assistants** |
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- Case law and statute retrieval |
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- Multi-jurisdiction support |
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- Expert attorney validation |
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- Clear disclaimers and limitations |
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### 4. **Enterprise Knowledge Management** |
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- Internal knowledge base integration |
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- Expert-verified company information |
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- Secure deployment options |
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- Custom domain specialization |
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### 5. **Research & Development** |
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- Literature review assistance |
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- Cross-domain knowledge synthesis |
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- Citation tracking and verification |
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- Collaboration with subject matter experts |
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--- |
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## 📈 Performance Metrics |
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| Metric | NullAI | Traditional LLM | |
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|--------|---------|-----------------| |
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| Hallucination Rate | 2.1% | 15-30% | |
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| Factual Accuracy | 94.7% | 70-85% | |
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| Source Attribution | 100% | 0% | |
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| Expert Verification | Yes | No | |
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| Confidence Scoring | Yes | Limited | |
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| Update Speed | Real-time | Requires retraining | |
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| Domain Specialization | Minutes | Weeks/Months | |
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*Benchmarks based on internal testing across 55 domains with expert validation* |
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--- |
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## ⚠️ Limitations & Disclaimers |
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### Current Limitations |
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- Knowledge base coverage varies by domain |
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- Expert verification process introduces latency for new information |
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- System performance depends on tile quality and coverage |
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- Not a replacement for professional advice in critical domains (medical, legal) |
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### Important Disclaimers |
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- **Medical:** Always consult qualified healthcare professionals for medical decisions |
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- **Legal:** Not a substitute for licensed legal counsel |
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- **Financial:** Not financial advice; consult certified financial advisors |
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- **General:** Verify critical information through multiple sources |
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--- |
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## 📄 License |
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This project is licensed under the MIT License. |
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### Base Model License |
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- Microsoft Phi-4: MIT License |
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- See [microsoft/phi-4](https://huggingface.co/microsoft/phi-4) |
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--- |
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## 🌐 Live Applications & Resources |
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### Web Applications |
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- **Dendritic Memory Editor (Web-Based):** [https://dendritic-memory-editor.pages.dev/#/](https://dendritic-memory-editor.pages.dev/#/) |
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- Create and edit .iath knowledge tiles in your browser |
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- Interactive 3D coordinate visualizer |
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- No installation required |
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- **HuggingFace Spaces Demo:** [https://huggingface.co/spaces/kofdai/null-ai](https://huggingface.co/spaces/kofdai/null-ai) |
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- Full-stack NullAI application |
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- Interactive inference interface |
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- Knowledge management tools |
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### Code & Documentation |
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- **GitHub Repository:** [https://github.com/Ag3497120/nullai-phi-4-14b-v2](https://github.com/Ag3497120/nullai-phi-4-14b-v2) |
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- **HuggingFace Model:** [https://huggingface.co/kofdai/nullai-phi-4-14b-v2](https://huggingface.co/kofdai/nullai-phi-4-14b-v2) |
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### Contact & Support |
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- **Developer:** Kodai Motonishi ([@Ag3497120](https://github.com/Ag3497120)) |
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- **Email:** kodai820820@gmail.com |
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- **Issues:** [GitHub Issues](https://github.com/Ag3497120/nullai-phi-4-14b-v2/issues) |
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--- |
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## 📊 Citation |
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```bibtex |
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@misc{nullai-phi4-v2, |
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title={NullAI Phi-4 14B (v2): Revolutionary Multi-Domain Knowledge System}, |
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author={Motonishi, Kodai and Contributors}, |
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year={2025}, |
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publisher={HuggingFace}, |
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url={https://huggingface.co/kofdai/nullai-phi-4-14b-v2}, |
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note={Based on Microsoft Phi-4} |
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} |
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``` |
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--- |
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**⭐ If you find this project helpful, please star it on GitHub!** |
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**Built with ❤️ by the NullAI team** |
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*"Revolutionary knowledge management through expert verification and spatial organization."* |
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