This session covers a framework approach for automated software testing of the LLM models, reducing human interactions and offering improved results in a fast, cost-efficient, and time-efficient manner for automated testing methods for industries. The proposed automation framework (LLMAutoE2E) leverages and integrates LLMs for testing of different LLM models (like BERT, BART, Hugging Face, and multiple models available to test) to automate the end-to-end execution lifecycle of the LLM models. By leveraging LLMs, companies and industries can generate automated test cases, automated unit...
Reena Chandra
Senior AI/ML Engineer
Amazon
Reena Chandra is a Senior AI/ML Engineer specializing in AI/ML products, test automation and releases. Her work focuses on LLM models, software engineering, and complete application architecture. Reena handles end-to-end development, including front-end and back-end automation for service applications, databases, and CI/CD deployment pipelines. Additionally, she designs and optimize development frameworks, ensuring efficient workflows and scalability. Reena's expertise spans AI/ML integration, test automation, and system-level architecture, delivering robust and high-performing solutions across diverse platforms and technologies.