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Best Practices for Verifying Claygent Outputs
best practice to double check/verify claygent outputs? Sometimes AI hallucinate or does random stuff
To verify Claygent outputs and minimize errors, follow these best practices: 1. Double-check prompts and search parameters before running tasks. 2. Use specific and well-defined search queries. 3. Break large data requests into smaller batches for better accuracy. 4. Leverage our metaprompters to craft better prompts. 5. Provide clear, step-by-step instructions in your prompts. 6. Specify the desired output format explicitly. 7. Run tests on a few rows before applying Claygent to large datasets. 8. Consider using GPT-4 or Claude Opus for complex analytical tasks or to test data accuracy. By following these practices, you can improve the reliability of your Claygent outputs.