Description
Build a robust A/B testing framework for comparing prompts, models, and parameters
to systematically improve LLM performance.
Scope
Create statistical experimentation platform for LLM optimization.
Files to Touch/Create
astroml/llm/experimentation/__init__.pyastroml/llm/experimentation/ab_test.py — A/B test runnerastroml/llm/experimentation/analyzer.py — Statistical analysisastroml/llm/experimentation/assigner.py — Traffic assignmentastroml/llm/experimentation/reporter.py — Results reportingastroml/llm/experimentation/guardrails.py — Safety checksapi/routers/experiments.py — Experiment APIweb/src/components/ExperimentDashboard.tsx — Dashboard UI
Experiment Types
- Prompt Variants: Test different prompt phrasings
- Model Comparison: GPT-4 vs Claude vs Llama
- Parameter Tuning: Temperature, top_p, max_tokens
- System Prompt: Different system instructions
- Context Strategies: Different RAG approaches
Implementation Details
- Traffic splitting: 50/50, 90/10, etc.
- Minimum sample size calculation
- Statistical significance testing (t-test, chi-square)
- Confidence intervals
- Winner declaration automation
- Automatic rollback on regression
Acceptance Criteria
- Experiments run with proper randomization
- Statistical significance calculated correctly
- Results reproducible
- Winner deployed automatically when significant
- Safety metrics monitored during experiments
- Historical experiment data retained
Metrics Tracked
- Primary: task success rate, user satisfaction
- Secondary: latency, cost, token usage
- Safety: hallucination rate, toxicity
Labels
enhancement, llm, "experimentation", "optimization"
Description
Build a robust A/B testing framework for comparing prompts, models, and parameters
to systematically improve LLM performance.
Scope
Create statistical experimentation platform for LLM optimization.
Files to Touch/Create
astroml/llm/experimentation/__init__.pyastroml/llm/experimentation/ab_test.py— A/B test runnerastroml/llm/experimentation/analyzer.py— Statistical analysisastroml/llm/experimentation/assigner.py— Traffic assignmentastroml/llm/experimentation/reporter.py— Results reportingastroml/llm/experimentation/guardrails.py— Safety checksapi/routers/experiments.py— Experiment APIweb/src/components/ExperimentDashboard.tsx— Dashboard UIExperiment Types
Implementation Details
Acceptance Criteria
Metrics Tracked
Labels
enhancement,llm, "experimentation", "optimization"