Integrating Ax for Prompt Optimization

implementationChallenge

Prompt Content

Detail how you will integrate Ax (Adaptive Experimentation) into your DSPy workflow to optimize prompt templates for Claude Sonnet 4. Identify specific prompt parameters (e.g., temperature, few-shot examples, instruction phrasing) that you will tune. How will you define evaluation metrics for Ax to minimize false positives/negatives in ESG risk detection?

Try this prompt

Open the workspace to execute this prompt with free credits, or use your own API keys for unlimited usage.

Related Prompts

Explore similar prompts from our community

Data Ingestion and Preprocessing Strategy

implementation

Design a DSPy Pipeline for ESG Information Extraction

planning

Designing the ESG Risk Scoring and Alerting System

implementation

Usage Tips

Copy the prompt and paste it into your preferred AI tool (Claude, ChatGPT, Gemini)

Customize placeholder values with your specific requirements and context

For best results, provide clear examples and test different variations