28 lines
1.5 KiB
Markdown
28 lines
1.5 KiB
Markdown
# 4-Tier Hierarchical Multi-Model Architecture (MMA) - Overview
|
|
|
|
The 4-Tier Hierarchical Multi-Model Architecture is a conceptual framework designed to manage complexity in AI systems by decomposing responsibilities into distinct, specialized layers. This modular approach enhances scalability, maintainability, and overall system performance.
|
|
|
|
## Architectural Tiers
|
|
|
|
1. **Tier 1: User-Facing Model (The Orchestrator/Router)**
|
|
* Direct user interface and intent interpretation.
|
|
* Routes requests to appropriate specialized models or tools.
|
|
|
|
2. **Tier 2: Specialized Models (The Experts/Tools)**
|
|
* Domain-specific models or tools (e.g., code generation, data analysis).
|
|
* Performs the "heavy lifting" for specific tasks.
|
|
|
|
3. **Tier 3: Data & Knowledge Base (The Information Layer)**
|
|
* A repository of structured and unstructured information.
|
|
* Provides context and facts to specialized models.
|
|
|
|
4. **Tier 4: Monitoring & Feedback (The Governance Layer)**
|
|
* Overarching layer for evaluation, error analysis, and continuous improvement.
|
|
* Closes the loop between user experience and model refinement.
|
|
|
|
## Core Goals
|
|
* **Modularity:** Decouple different functions to allow for independent development.
|
|
* **Efficiency:** Use smaller, specialized models for specific tasks instead of one monolithic model.
|
|
* **Contextual Accuracy:** Ensure specialized tools have access to relevant data.
|
|
* **Continuous Improvement:** Establish a systematic way to monitor performance and iterate.
|