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  • PList/SBF Guides
    • What's a PList/SBF
    • Core Concepts
    • PList/SBF vs. Natural Language
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    • Category System
    • Character Definition
    • Scenario
    • Overemphasized Traits
    • Strategies to Address Challenges with PList
    • Machine Readability
  • Character Depth (On A Budget)
  • Token Efficiency
  • Multiple Characters
  • Personality Switching
  • Narrative Styles
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  • Final Checklist
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  • Parser-Friendly Guidelines
  • How Many Descriptors Are Too Many?
  • Format Examples
  • Structure Comparison
  • Descriptor Length Comparison
  • TL;DR
  1. PList/SBF Guides

Machine Readability

Parser-Friendly Guidelines

  1. Limit descriptions to 2-3 descriptors

  2. Keep descriptions concise

  3. Use logical grouping

  4. Maintain consistent structure

How Many Descriptors Are Too Many?

Depends on which LLM you're using, but we'll stick to the general principle of "shorter is better." These thresholds should be taken as general guidelines rather than strict rules.

  • 5+ words: Reduces parsing efficiency

  • 7+ words: Impairs scanning ability

  • 10+ words: Disrupts logical flow

Format Examples

Structure Comparison

❌ Wrong

✅ Right

* name: John Smith

- Name: John Smith;

- age:25

- Age: 25;

Descriptor Length Comparison

❌ Wrong

✅ Right

Personality: kind(always helps others no matter what and goes out of their way...)

Personality: kind(puts others first, self-sacrificing);

TL;DR

Long descriptors risk being ignored. LLMs filter out complex or excessive information as processing noise.

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Last updated 4 months ago

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