| 1 | [Transition] The third pattern is Parallelization, which comes in two flavors. |
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| 3 | Sectioning breaks a task into independent subtasks that run simultaneously — like having one model process queries while another screens for inappropriate content. These tend to perform better than asking a single LLM call to do both. |
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| 5 | Voting runs the same task multiple times for diverse perspectives — like having several different prompts review code for vulnerabilities, flagging issues independently. |
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| 7 | [Pause] |
| 8 | |
| 9 | Both approaches boost confidence through multiple perspectives. |
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| 11 | Key points: ① Sectioning = independent parallel subtasks ② Voting = multiple perspectives on same task ③ Better than single-call for complex multi-concern tasks |
| 12 | Duration: 2 minutes |