LLMs in Practice Assessment

Online assessment to evaluate advanced large language model operations and optimization skills

This assessment helps organizations assess a candidate’s proficiency in managing, deploying, and optimizing large language models for real-world use. It focuses on advanced-level topics such as retrieval-augmented generation (RAG), model versioning, bias evaluation, and governance workflows. The test also examines prompt optimization, interpretability, and compliance practices. Ideal for AI engineers, ML practitioners, and data scientists, this assessment identifies professionals capable of building reliable, transparent, and enterprise-grade LLM systems. Automated scoring ensures data-driven hiring for high-impact AI roles.

Sample Question

You lead the AI governance team at a large insurance company deploying an LLM-powered claims assistant. Over the past month, customer complaints have increased because identical queries yield different responses on separate days. After investigating, you discover that developers have been experimenting with different model versions and checkpoint updates without version tracking. Regulators warn that inconsistent decisions could violate FCA guidelines. Management demands a quick, auditable solution that restores reproducibility while preserving model improvement flexibility. What should you implement first to stabilise the system?