Backtesting and Replaying Requests
Last updated October 31, 2023
In the dynamic realm of Language Model (LLM) applications, ensuring the robustness and reliability of your prompts is paramount. Backtesting and replaying requests are crucial methodologies that aid in evaluating how prompts would have performed under historical conditions or with previously received inputs. Vellum provides tools that facilitate backtesting and replaying requests, allowing for a thorough analysis and validation of prompt performance. This article delineates the steps to conduct backtesting and replay requests within the Vellum platform.
Backtesting and Replaying Requests in Vellum:
- Step 1: Accessing the Deployments Section
- Log in to your Vellum account and navigate to the 'Deployments' tab on the dashboard.
- Step 2: Selecting a Deployment
- Choose the deployment containing the prompt you wish to backtest or replay requests for.
- Step 3: Navigating to Backtesting Tools
- Click on the 'Backtesting' tab to access the backtesting tools and options available.
- Step 4: Uploading Historical Data
- Upload the historical data or previously received inputs that you wish to use for backtesting or replaying requests.
- Step 5: Configuring Backtesting Settings
- Configure the backtesting settings such as date range, input parameters, and other necessary configurations.
- Step 6: Initiating Backtesting
- Click on the 'Run Backtest' button to initiate the backtesting process.
- Monitor the progress and review the backtesting results to understand the performance of the prompt under historical conditions.
- Step 7: Replaying Requests
- Navigate to the 'Replay Requests' tab.
- Select the requests you wish to replay and click on the 'Replay' button to initiate the replay process.
- Step 8: Analyzing Results
- Review the results of the backtesting and replaying processes to identify any discrepancies, anomalies, or areas of improvement.
- Step 9: Iterative Optimization
- Based on the insights gained from backtesting and replaying requests, make necessary adjustments to the prompt and deployment settings to optimize performance.
- Step 10: Documenting Findings
- Document your findings, the backtesting and replay processes, and any actions taken for future reference and continuous improvement.
Conclusion:
Backtesting and replaying requests are indispensable practices in ensuring the resilience and effectiveness of your LLM applications. Vellum’s backtesting and replaying tools provide a structured approach to validate prompt performance under varied conditions, thereby enabling a thorough analysis and iterative optimization. By leveraging these methodologies, you can significantly enhance the reliability and performance of your LLM applications, ensuring they are well-tuned to meet the real-world demands.