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diversity-tuning

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Interactive tuning of Verbalized Sampling diversity parameters with preset management and A/B comparison

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How to use this skill

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Source SKILL.md: https://github.com/jmagly/aiwg/blob/HEAD/agentic/code/addons/verbalized-sampling/skills/diversity-tuning/SKILL.md

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Diversity Tuning Skill

Triggers

Alternate expressions and non-obvious activations (primary phrases are matched automatically from the skill description):

  • "mode collapse" → RLHF pattern mitigation via diversity tuning
  • "RLHF collapse" → same
  • "VS parameters" → Verbalized Sampling parameter adjustment shorthand

Purpose

Interactively tune Verbalized Sampling parameters to find the right diversity level for a given task.

Parameters

ParameterDefaultRangeDescription
k53-20Number of responses to generate
threshold0.10.01-1.0Probability filter threshold
variantstandardstandard/cot/multiVS prompt variant

Presets

PresetkthresholdvariantUse Case
conservative31.0standardMinimal diversity, high confidence
moderate50.1standardBalanced (default)
creative80.05cotHigh diversity for ideation
maximum120.01multiMaximum exploration

Usage

# Apply a preset
"tune diversity to creative"

# Custom parameters
"set diversity k=8 threshold=0.05"

# A/B comparison
"compare diversity: moderate vs creative for tagline generation"

A/B Comparison Mode

When comparing presets:

  1. Generate outputs using preset A
  2. Generate outputs using preset B
  3. Show side-by-side comparison
  4. Measure diversity metrics:
    • Unique n-gram ratio
    • Average pairwise edit distance
    • Semantic cluster count
  5. Recommend the better preset for the task

References

  • @$AIWG_ROOT/agentic/code/addons/aiwg-utils/rules/vague-discretion.md — Measurable diversity thresholds and tuning criteria
  • @$AIWG_ROOT/agentic/code/addons/aiwg-utils/rules/instruction-comprehension.md — Parsing tuning parameters accurately
  • @$AIWG_ROOT/docs/extensions/overview.md — Extension system architecture
  • @$AIWG_ROOT/agentic/code/addons/voice-framework/README.md — Voice framework for style diversity context