sgo
CommunityOptimize any entity with semantic gradient.
Product & Management#llm-evaluation#semantic-gradient#evaluator-panel#cohort-generation#counterfactual-probes#bias-calibration#persuasion-analysis
Authorxuy
Version1.0.0
Installs0
System Documentation
What problem does it solve?
Semantic Gradient Optimization (SGO) enables you to measure how an entity you control is perceived by a diverse evaluator population, and to discover targeted changes that move that perception toward a defined goal.
Core Features & Use Cases
- Build a realistic evaluator panel using census-grounded Nemotron personas or LL-generated cohorts
- Score the entity with LLM-based evaluations and derive a semantic gradient via counterfactual probes
- Prioritize changes and simulate outcomes across audience segments, with optional goal weighting
Quick Start
Describe your entity and goal, assemble or load an evaluator cohort, run the evaluation, and review the semantic gradient to identify the top changes.
Dependency Matrix
Required Modules
datasetshuggingface_hubopenaipython-dotenvfastapiuvicornsse-starlette
Components
scripts
💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: sgo Download link: https://github.com/xuy/sgo/archive/main.zip#sgo Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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