4. Parallelization
Mini-Project: Editorial Review Board
Multiple specialist reviewers (tone, facts, grammar) analyze a document in parallel, and their feedback is merged into a unified editorial report.
Description
Parallelization fans out a task to multiple LLM calls that run concurrently, then aggregates their results. There are two main variants:
- Sectioning: Breaking a task into independent subtasks that run in parallel
- Voting: Running the same task multiple times to get diverse outputs for consensus
When to Use
- Tasks with independent subtasks that don't depend on each other
- When you need multiple perspectives on the same problem (voting/ensemble)
- Reducing wall-clock time for multi-part analysis
- Quality assurance through redundant evaluation
Benefits
| Benefit | Description |
|---|---|
| Speed | Concurrent execution reduces total time |
| Quality | Multiple perspectives catch more issues |
| Robustness | Voting reduces individual LLM errors |
| Throughput | Process more work in the same time window |
Architecture Diagram
flowchart TD
A[User Input] --> B[Fan-Out / Split]
B --> C[Agent 1: Analyze Tone]
B --> D[Agent 2: Check Facts]
B --> E[Agent 3: Review Grammar]
C --> F[Aggregator / Merge]
D --> F
E --> F
F --> G[Combined Output]
style A fill:#4CAF50,color:#fff
style B fill:#FF9800,color:#fff
style C fill:#2196F3,color:#fff
style D fill:#9C27B0,color:#fff
style E fill:#00BCD4,color:#fff
style F fill:#FF9800,color:#fff
style G fill:#4CAF50,color:#fff