Testing and Monitoring

Continuously testing, monitoring, and refining the model helps us to ensure its effectiveness, performance, and user satisfaction. A strong emphasis on testing and monitoring will help identify areas of improvement and make necessary adjustments to deliver an engaging and high-quality learning experience.

Platform Functionality

Test the platform's functionality, including API integration, frontend features, and user experience, to ensure that all components work together seamlessly and meet the expected performance standards.

Model Evaluation

Evaluate the performance of the AI models (both fine-tuned model and GPT) using appropriate metrics, such as accuracy, response time, and relevancy. This helps identify any issues with the models' understanding of the dataset or the quality of the generated responses.

User Feedback

Collect user feedback through various channels, such as surveys, interviews, or in-app prompts, to gather insights about the platform's usability, effectiveness, and areas for improvement.

Security and Compliance

Regularly test the platform for security vulnerabilities and ensure compliance with relevant data protection regulations.